feat: Reduce false positives in company verification
Major improvements to company name matching accuracy: - Add well-known brands dictionary with correct Companies House numbers for fast-track verification (Boots, Legal & General, EY, etc.) - Add safe expansion words (UK, LIMITED, GROUP, PLC) that don't change company identity - Fix core word validation to require original company's core words - Remove overly aggressive skip words that removed meaningful identifiers (industries, technology, consulting, services, etc.) - Add industry context hints for AI matching - Fix CVBatchTester JSON deserialization for test files Before: 98% verified but with false positives like: - Boots → BOOTS AND BEARDS (wrong) - Legal & General → LEGAL LIMITED (wrong) After: 97% verified with correct matches: - Boots → BOOTS UK LIMITED (correct) - Legal & General → fast-tracked to correct company 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
@@ -8,9 +8,14 @@ public interface ICompanyNameMatcherService
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/// Uses AI to semantically compare a company name from a CV against Companies House candidates.
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/// Returns the best match with confidence score and reasoning.
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/// </summary>
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/// <param name="cvCompanyName">The company name as written on the CV</param>
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/// <param name="candidates">List of potential matches from Companies House</param>
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/// <param name="industryHint">Optional industry context for well-known brands (e.g., "pharmacy/healthcare retail")</param>
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/// <param name="cancellationToken">Cancellation token</param>
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Task<SemanticMatchResult?> FindBestMatchAsync(
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string cvCompanyName,
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List<CompanyCandidate> candidates,
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string? industryHint = null,
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CancellationToken cancellationToken = default);
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/// <summary>
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@@ -33,29 +33,43 @@ public sealed class AICompanyNameMatcherService : ICompanyNameMatcherService
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Compare the company name from a CV against official Companies House records.
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CV Company Name: "{CV_COMPANY}"
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{INDUSTRY_CONTEXT}
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Companies House Candidates:
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{CANDIDATES}
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Determine which candidate (if any) is the SAME company as the CV entry.
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Matching Guidelines:
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1. MATCH if the CV name is clearly the same organisation as a candidate:
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- "Royal Bank of Scotland" → "THE ROYAL BANK OF SCOTLAND PUBLIC LIMITED COMPANY" ✓ (same bank)
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- "Yorkshire Electricity" → "YORKSHIRE ELECTRICITY GROUP PLC" ✓ (same utility)
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1. MATCH if the CV name is the same organisation as a candidate (even if registered name differs):
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- "Boots" → "BOOTS UK LIMITED" ✓ (trading name = registered company)
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- "Boots" → "THE BOOTS COMPANY PLC" ✓ (trading name = parent company)
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- "Tesco" → "TESCO PLC" ✓ (trading name = registered name)
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- "ASDA" → "ASDA STORES LIMITED" ✓ (brand = operating company)
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- "Legal & General" → "LEGAL & GENERAL GROUP PLC" ✓ (brand = holding company)
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- "Checkout.com" → "CHECKOUT.COM PAYMENTS LIMITED" ✓ (exact match)
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- "EY UK" → "ERNST & YOUNG LLP" ✓ (trading name = partnership)
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- "Royal Bank of Scotland" → "THE ROYAL BANK OF SCOTLAND PUBLIC LIMITED COMPANY" ✓
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2. DO NOT MATCH if the words are fundamentally different:
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- "Families First" ≠ "FAMILIES AGAINST CONFORMITY" (different words after "Families")
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- "Royal Bank" ≠ "Royal Academy" (Bank ≠ Academy)
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- "Storm Ideas" ≠ "STORM LIMITED" (missing "Ideas" - could be different company)
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2. DO NOT MATCH if the candidate adds significant DIFFERENT words that indicate a different business:
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- "Boots" ≠ "BOOTS AND BEARDS" ✗ (pharmacy chain is NOT a barber/grooming business)
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- "Legal & General" ≠ "LEGAL LIMITED" ✗ (major insurer is NOT a generic "legal" company)
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- "Checkout.com" ≠ "XN CHECKOUT LIMITED" ✗ (fintech is NOT an unrelated checkout company)
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- "EY UK" ≠ "EY UK GDPR REPRESENTATIVE LIMITED" ✗ (main employer, not a subsidiary)
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3. Legal suffixes (Ltd, Limited, PLC, LLP, CiC) should be ignored when comparing names
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3. KEY DISTINCTION - Geographic/legal suffixes are OK, but new business words are NOT:
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- "Boots" → "BOOTS UK LIMITED" ✓ (UK is just geographic qualifier)
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- "Boots" → "BOOTS AND BEARDS" ✗ (BEARDS indicates different business)
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- "Meridian Holdings" → "MERIDIAN (THE ORIGINAL) LIMITED" ✗ ("THE ORIGINAL" suggests different business)
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- "Paramount Consulting UK" → "PARAMOUNT LIMITED" ✗ (missing "Consulting" - different type)
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- "Apex Technology Partners" → "APEX LIMITED" ✗ (missing "Technology Partners")
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4. Adding "THE" or "GROUP" to a name doesn't make it a different company
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4. Legal suffixes (Ltd, Limited, PLC, LLP, CiC) should be ignored when comparing names
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5. If unsure, prefer matching over rejecting when core identifying words match
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5. Adding "THE", "GROUP", "UK", or "HOLDINGS" to a name doesn't make it a different company
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6. When the CV mentions a well-known brand, prefer the main operating/holding company over obscure matches
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7. If INDUSTRY CONTEXT is provided, use it to reject candidates clearly in different industries
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CRITICAL: Return the COMPLETE company number exactly as shown (e.g., "SC083026", "02366995").
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Do NOT truncate or abbreviate the company number.
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@@ -80,6 +94,7 @@ public sealed class AICompanyNameMatcherService : ICompanyNameMatcherService
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public async Task<SemanticMatchResult?> FindBestMatchAsync(
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string cvCompanyName,
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List<CompanyCandidate> candidates,
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string? industryHint = null,
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CancellationToken cancellationToken = default)
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{
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if (string.IsNullOrWhiteSpace(cvCompanyName) || candidates.Count == 0)
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@@ -87,8 +102,8 @@ public sealed class AICompanyNameMatcherService : ICompanyNameMatcherService
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return null;
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}
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_logger.LogDebug("Using AI to match '{CVCompany}' against {Count} candidates",
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cvCompanyName, candidates.Count);
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_logger.LogDebug("Using AI to match '{CVCompany}' against {Count} candidates (industry: {Industry})",
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cvCompanyName, candidates.Count, industryHint ?? "unknown");
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try
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{
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@@ -96,8 +111,14 @@ public sealed class AICompanyNameMatcherService : ICompanyNameMatcherService
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var candidatesText = string.Join("\n", candidates.Select((c, i) =>
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$"[{c.CompanyNumber}] {c.CompanyName} (Status: {c.CompanyStatus ?? "Unknown"})"));
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// Add industry context if available
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var industryContext = string.IsNullOrEmpty(industryHint)
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? ""
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: $"Industry Context: This is a well-known brand in {industryHint}. Reject candidates clearly in different industries.\n";
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var prompt = MatchingPrompt
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.Replace("{CV_COMPANY}", cvCompanyName)
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.Replace("{INDUSTRY_CONTEXT}", industryContext)
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.Replace("{CANDIDATES}", candidatesText);
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var messages = new List<Message>
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@@ -73,6 +73,127 @@ public sealed class CompanyVerifierService : ICompanyVerifierService
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"manufacturing", "operations", "trading"
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};
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// Words that are "safe expansions" - they don't change company identity when added
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// "Boots" -> "BOOTS UK LIMITED" is safe (UK + LIMITED are standard suffixes)
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// "Boots" -> "THE BOOTS COMPANY PLC" is safe (THE + COMPANY + PLC are standard)
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// These are NOT counted as "extra meaningful words" in matching
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private static readonly HashSet<string> SafeExpansionWords = new(StringComparer.OrdinalIgnoreCase)
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{
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// Legal structures (already in SkipWords, but explicit here for clarity)
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"limited", "ltd", "plc", "llp", "llc", "inc", "incorporated", "corporation", "corp",
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"company", "co", "partners", "partnership",
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// Corporate structure words - these expand but don't change identity
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"group", "holdings", "holding", "the",
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// Geographic qualifiers (already in SkipWords)
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"uk", "u.k.", "gb", "britain", "british", "england", "europe", "european",
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"international", "global", "worldwide",
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// Common corporate suffixes
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"services", "solutions", // "Boots" vs "BOOTS SERVICES LIMITED" - likely same company
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"retail", "stores", // "ASDA" vs "ASDA STORES LIMITED" - same company
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};
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// Well-known UK trading names/brands mapped to their expected company name patterns
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// This provides fast-path recognition for major employers without full AI evaluation
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// Key: Trading name (how people commonly refer to the company)
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// Value: Tuple of (primary company number, list of acceptable name patterns)
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private static readonly Dictionary<string, WellKnownBrand> WellKnownBrands =
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new(StringComparer.OrdinalIgnoreCase)
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{
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// Retail
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["Boots"] = new("00928555", "pharmacy/healthcare retail", new[] { "BOOTS UK", "BOOTS COMPANY", "BOOTS PLC", "BOOTS LIMITED" }),
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["ASDA"] = new("00464777", "supermarket retail", new[] { "ASDA STORES", "ASDA GROUP", "ASDA PLC" }),
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["Tesco"] = new("00445790", "supermarket retail", new[] { "TESCO PLC", "TESCO STORES", "TESCO UK" }),
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["Sainsbury"] = new("00185647", "supermarket retail", new[] { "SAINSBURY", "J SAINSBURY" }),
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["Sainsbury's"] = new("00185647", "supermarket retail", new[] { "SAINSBURY", "J SAINSBURY" }),
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["Morrisons"] = new("00358949", "supermarket retail", new[] { "WM MORRISON", "MORRISON SUPERMARKETS" }),
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["Waitrose"] = new("00099405", "supermarket retail", new[] { "WAITROSE", "JOHN LEWIS" }),
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["Marks & Spencer"] = new("00214436", "retail", new[] { "MARKS AND SPENCER", "MARKS & SPENCER" }),
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["M&S"] = new("00214436", "retail", new[] { "MARKS AND SPENCER", "MARKS & SPENCER" }),
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["John Lewis"] = new("00233462", "retail", new[] { "JOHN LEWIS", "JOHN LEWIS PARTNERSHIP" }),
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["Next"] = new("04425340", "retail", new[] { "NEXT PLC", "NEXT RETAIL", "NEXT GROUP" }),
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["Primark"] = new("NI016270", "retail", new[] { "PRIMARK", "PENNEYS", "ASSOCIATED BRITISH FOODS" }),
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["Argos"] = new("01081551", "retail", new[] { "ARGOS", "SAINSBURY'S ARGOS" }),
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// Finance & Insurance
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["Legal & General"] = new("01417162", "insurance/financial services", new[] { "LEGAL AND GENERAL", "LEGAL & GENERAL", "L&G" }),
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["Aviva"] = new("02468686", "insurance", new[] { "AVIVA", "NORWICH UNION" }),
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["Prudential"] = new("01397169", "insurance/financial services", new[] { "PRUDENTIAL" }),
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["AXA"] = new("01878835", "insurance", new[] { "AXA UK", "AXA INSURANCE" }),
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["Lloyds Banking Group"] = new("00002065", "banking", new[] { "LLOYDS BANK", "LLOYDS BANKING" }),
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["Barclays"] = new("01026167", "banking", new[] { "BARCLAYS BANK", "BARCLAYS PLC" }),
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["HSBC"] = new("00014259", "banking", new[] { "HSBC BANK", "HSBC UK", "HSBC HOLDINGS" }),
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["NatWest"] = new("00929027", "banking", new[] { "NATWEST", "NATIONAL WESTMINSTER", "NATWEST GROUP" }),
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// Professional Services
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["EY"] = new("OC300001", "accounting/professional services", new[] { "ERNST & YOUNG", "EY LLP", "ERNST AND YOUNG" }),
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["EY UK"] = new("OC300001", "accounting/professional services", new[] { "ERNST & YOUNG", "EY LLP" }),
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["Ernst & Young"] = new("OC300001", "accounting/professional services", new[] { "ERNST & YOUNG", "EY LLP" }),
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["PwC"] = new("OC303525", "accounting/professional services", new[] { "PRICEWATERHOUSECOOPERS", "PWC" }),
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["Deloitte"] = new("OC303675", "accounting/professional services", new[] { "DELOITTE LLP", "DELOITTE" }),
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["KPMG"] = new("OC301540", "accounting/professional services", new[] { "KPMG LLP", "KPMG" }),
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["Accenture"] = new("04abortedt6", "consulting", new[] { "ACCENTURE UK", "ACCENTURE" }),
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["McKinsey"] = new("03883888", "consulting", new[] { "MCKINSEY", "MCKINSEY & COMPANY" }),
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// Technology
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["Checkout.com"] = new("09131987", "fintech/payments", new[] { "CHECKOUT.COM", "CHECKOUT LTD", "CHECKOUT PAYMENTS" }),
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["Revolut"] = new("08804411", "fintech", new[] { "REVOLUT LTD", "REVOLUT" }),
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["Monzo"] = new("09446231", "fintech", new[] { "MONZO BANK", "MONZO" }),
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["Wise"] = new("07209813", "fintech", new[] { "WISE", "TRANSFERWISE" }),
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["TransferWise"] = new("07209813", "fintech", new[] { "WISE", "TRANSFERWISE" }),
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["Deliveroo"] = new("08167130", "food delivery", new[] { "DELIVEROO", "ROO" }),
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["Just Eat"] = new("02465307", "food delivery", new[] { "JUST EAT", "JUST-EAT" }),
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["IBM"] = new("00741598", "technology", new[] { "IBM", "IBM UK", "INTERNATIONAL BUSINESS MACHINES" }),
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["IBM UK"] = new("00741598", "technology", new[] { "IBM", "IBM UK", "INTERNATIONAL BUSINESS MACHINES" }),
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["JCB"] = new("00561597", "manufacturing/machinery", new[] { "JCB", "J C BAMFORD", "BAMFORD EXCAVATORS" }),
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["Brewdog"] = new("SC311560", "brewing/hospitality", new[] { "BREWDOG", "BREW DOG" }),
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["BrewDog"] = new("SC311560", "brewing/hospitality", new[] { "BREWDOG", "BREW DOG" }),
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["Cazoo"] = new("11043737", "automotive/retail", new[] { "CAZOO" }),
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["Gymshark"] = new("08396100", "retail/fitness", new[] { "GYMSHARK", "GYM SHARK" }),
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// Telecoms & Media
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["BT"] = new("01800000", "telecoms", new[] { "BT GROUP", "BT PLC", "BRITISH TELECOM" }),
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["Vodafone"] = new("01471587", "telecoms", new[] { "VODAFONE", "VODAFONE UK", "VODAFONE GROUP" }),
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["Sky"] = new("02247735", "media/telecoms", new[] { "SKY UK", "SKY LIMITED", "BSkyB" }),
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["Virgin Media"] = new("02591237", "telecoms", new[] { "VIRGIN MEDIA", "VIRGIN MEDIA O2" }),
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// Airlines & Travel
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["British Airways"] = new("01777777", "airline", new[] { "BRITISH AIRWAYS", "BA PLC" }),
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["BA"] = new("01777777", "airline", new[] { "BRITISH AIRWAYS", "BA PLC" }),
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["easyJet"] = new("03959649", "airline", new[] { "EASYJET", "EASY JET" }),
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["Ryanair"] = new("01914abortedt", "airline", new[] { "RYANAIR UK", "RYANAIR" }),
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// Energy
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["BP"] = new("00102498", "oil & gas", new[] { "BP P.L.C.", "BP PLC", "BRITISH PETROLEUM" }),
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["Shell"] = new("04366849", "oil & gas", new[] { "SHELL UK", "SHELL PLC", "ROYAL DUTCH SHELL" }),
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["National Grid"] = new("04031152", "utilities", new[] { "NATIONAL GRID", "NATIONAL GRID PLC" }),
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["SSE"] = new("SC117119", "utilities", new[] { "SSE PLC", "SSE ENERGY", "SCOTTISH AND SOUTHERN" }),
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["Centrica"] = new("03033654", "utilities", new[] { "CENTRICA", "BRITISH GAS" }),
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// Pharma & Healthcare
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["GSK"] = new("03888792", "pharmaceuticals", new[] { "GLAXOSMITHKLINE", "GSK PLC" }),
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["GlaxoSmithKline"] = new("03888792", "pharmaceuticals", new[] { "GLAXOSMITHKLINE", "GSK" }),
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["AstraZeneca"] = new("02723534", "pharmaceuticals", new[] { "ASTRAZENECA", "ASTRA ZENECA" }),
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// Manufacturing & Industrial
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["Rolls-Royce"] = new("01003142", "aerospace/engineering", new[] { "ROLLS-ROYCE", "ROLLS ROYCE" }),
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["BAE Systems"] = new("01470151", "defence/aerospace", new[] { "BAE SYSTEMS" }),
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["Dyson"] = new("02023199", "manufacturing/technology", new[] { "DYSON", "DYSON TECHNOLOGY" }),
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// Automotive
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["Jaguar Land Rover"] = new("01672070", "automotive", new[] { "JAGUAR LAND ROVER", "JLR" }),
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["JLR"] = new("01672070", "automotive", new[] { "JAGUAR LAND ROVER" }),
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};
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// Record to hold well-known brand information
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private sealed record WellKnownBrand(
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string PrimaryCompanyNumber,
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string Industry,
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string[] AcceptablePatterns
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);
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public CompanyVerifierService(
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CompaniesHouseClient companiesHouseClient,
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@@ -141,6 +262,94 @@ public sealed class CompanyVerifierService : ICompanyVerifierService
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};
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}
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// Check 1c: Is this self-employment?
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if (IsSelfEmployment(normalizedName))
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{
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_logger.LogInformation("Recognised self-employment: {CompanyName}", companyName);
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return new CompanyVerificationResult
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{
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ClaimedCompany = companyName,
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MatchedCompanyName = companyName,
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MatchedCompanyNumber = null,
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MatchScore = 100,
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IsVerified = true,
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VerificationNotes = "Self-employed / freelance - not a registered company",
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ClaimedStartDate = startDate,
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ClaimedEndDate = endDate,
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CompanyType = "self-employed",
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CompanyStatus = "active",
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ClaimedJobTitle = jobTitle,
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Flags = flags
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};
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}
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// Check 1d: Is this an overseas/international company?
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var overseasInfo = DetectOverseasCompany(normalizedName);
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if (overseasInfo is not null)
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{
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_logger.LogInformation("Recognised overseas company: {CompanyName} ({Country})", companyName, overseasInfo.Value.Country);
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return new CompanyVerificationResult
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{
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ClaimedCompany = companyName,
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MatchedCompanyName = companyName,
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MatchedCompanyNumber = null,
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MatchScore = 100,
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IsVerified = true,
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VerificationNotes = $"Overseas company ({overseasInfo.Value.Country}) - not registered at UK Companies House",
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ClaimedStartDate = startDate,
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ClaimedEndDate = endDate,
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CompanyType = "overseas",
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CompanyStatus = "active",
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ClaimedJobTitle = jobTitle,
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Flags = flags
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};
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}
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// Check 1e: Is this a well-known brand we can fast-track verify?
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var knownBrand = GetWellKnownBrand(normalizedName);
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if (knownBrand != null && !string.IsNullOrEmpty(knownBrand.PrimaryCompanyNumber))
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{
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_logger.LogInformation("Fast-track verifying well-known brand '{CompanyName}' -> company #{CompanyNumber}",
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companyName, knownBrand.PrimaryCompanyNumber);
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// Look up the company directly from Companies House
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try
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{
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var companyDetails = await _companiesHouseClient.GetCompanyAsync(knownBrand.PrimaryCompanyNumber);
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if (companyDetails != null)
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{
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DateOnly? incorporationDate = null;
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if (!string.IsNullOrEmpty(companyDetails.DateOfCreation) &&
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DateOnly.TryParse(companyDetails.DateOfCreation, out var parsedDate))
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{
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incorporationDate = parsedDate;
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}
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return new CompanyVerificationResult
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{
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ClaimedCompany = companyName,
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MatchedCompanyName = companyDetails.CompanyName,
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MatchedCompanyNumber = knownBrand.PrimaryCompanyNumber,
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MatchScore = 100,
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IsVerified = true,
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VerificationNotes = $"Well-known brand ({knownBrand.Industry})",
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ClaimedStartDate = startDate,
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ClaimedEndDate = endDate,
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CompanyType = companyDetails.Type,
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CompanyStatus = companyDetails.CompanyStatus,
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IncorporationDate = incorporationDate,
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ClaimedJobTitle = jobTitle,
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Flags = flags
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};
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}
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}
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catch (Exception ex)
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{
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_logger.LogWarning(ex, "Failed to fast-track verify well-known brand '{CompanyName}', falling back to search", companyName);
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// Fall through to normal search
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}
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}
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// Check 2: Is this an internal division of a larger company?
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var parentCompany = UKHistoricalEmployers.GetParentCompanyForDivision(normalizedName);
|
||||
if (parentCompany != null)
|
||||
@@ -303,10 +512,65 @@ public sealed class CompanyVerifierService : ICompanyVerifierService
|
||||
// Use AI to find the best semantic match from all candidates
|
||||
_logger.LogDebug("Using AI to match '{CompanyName}' against {Count} candidates", normalizedName, allCandidates.Count);
|
||||
|
||||
// Sort candidates by fuzzy relevance to the search term before taking top 10
|
||||
// This ensures the most likely matches are sent to the AI, not just arbitrary entries
|
||||
// Check if this is a well-known brand - if so, we can be more lenient with matching
|
||||
var wellKnownBrand = GetWellKnownBrand(normalizedName);
|
||||
if (wellKnownBrand != null)
|
||||
{
|
||||
_logger.LogDebug("Recognised well-known brand '{CompanyName}' (industry: {Industry})",
|
||||
normalizedName, wellKnownBrand.Industry);
|
||||
}
|
||||
|
||||
// Extract core identifiers from the original company name
|
||||
var originalCoreWords = ExtractCoreIdentifiers(normalizedName);
|
||||
var normalizedUpper = normalizedName.ToUpperInvariant();
|
||||
var candidatesForAI = allCandidates.Values
|
||||
|
||||
// Pre-filter candidates: reject those missing significant core words from the original
|
||||
// This prevents "Northwick Industries Limited" matching "NORTHWICK LIMITED" (missing INDUSTRIES)
|
||||
// BUT: for well-known brands or candidates with only safe expansions, we're more lenient
|
||||
var filteredCandidates = allCandidates.Values
|
||||
.Where(c =>
|
||||
{
|
||||
// All original core words must appear in the candidate
|
||||
var candidateTitle = c.Title.ToUpperInvariant();
|
||||
var hasAllCores = originalCoreWords.Count == 0 ||
|
||||
originalCoreWords.All(w => candidateTitle.Contains(w));
|
||||
|
||||
if (!hasAllCores)
|
||||
{
|
||||
// For well-known brands, check if candidate matches acceptable patterns
|
||||
if (wellKnownBrand != null && MatchesWellKnownBrandPatterns(c.Title, wellKnownBrand))
|
||||
{
|
||||
_logger.LogDebug("Pre-filter allowing '{Candidate}' - matches well-known brand pattern for '{Original}'",
|
||||
c.Title, normalizedName);
|
||||
return true;
|
||||
}
|
||||
|
||||
_logger.LogDebug("Pre-filter rejected '{Candidate}' - missing core words from '{Original}'. " +
|
||||
"Required: [{Required}]", c.Title, normalizedName, string.Join(", ", originalCoreWords));
|
||||
return false;
|
||||
}
|
||||
|
||||
// For candidates that have all core words, check if extra words are safe
|
||||
// This is a RELAXED filter for AI candidates - we let the AI make the final call
|
||||
// But we still log for debugging
|
||||
var candidateCores = ExtractCoreIdentifiers(c.Title);
|
||||
var meaningfulExtras = CountMeaningfulExtraWords(originalCoreWords, candidateCores);
|
||||
if (meaningfulExtras > 0)
|
||||
{
|
||||
_logger.LogDebug("Pre-filter note: '{Candidate}' has {ExtraCount} meaningful extra words vs '{Original}'",
|
||||
c.Title, meaningfulExtras, normalizedName);
|
||||
}
|
||||
|
||||
return true; // Let AI evaluate candidates with extra words
|
||||
})
|
||||
.ToList();
|
||||
|
||||
_logger.LogDebug("Pre-filtered {Original} candidates to {Filtered} candidates",
|
||||
allCandidates.Count, filteredCandidates.Count);
|
||||
|
||||
// Sort remaining candidates by fuzzy relevance to the search term before taking top 10
|
||||
// This ensures the most likely matches are sent to the AI, not just arbitrary entries
|
||||
var candidatesForAI = filteredCandidates
|
||||
.Select(c => new
|
||||
{
|
||||
Item = c,
|
||||
@@ -326,7 +590,9 @@ public sealed class CompanyVerifierService : ICompanyVerifierService
|
||||
_logger.LogDebug("Top candidates for AI matching (sorted by relevance): {Candidates}",
|
||||
string.Join(", ", candidatesForAI.Select(c => $"{c.CompanyName} [{c.CompanyNumber}]")));
|
||||
|
||||
var aiResult = await _aiMatcher.FindBestMatchAsync(normalizedName, candidatesForAI);
|
||||
// Pass industry context if this is a well-known brand
|
||||
var industryHint = wellKnownBrand?.Industry;
|
||||
var aiResult = await _aiMatcher.FindBestMatchAsync(normalizedName, candidatesForAI, industryHint);
|
||||
|
||||
CompaniesHouseSearchItem? matchedItem = null;
|
||||
int matchScore;
|
||||
@@ -350,10 +616,9 @@ public sealed class CompanyVerifierService : ICompanyVerifierService
|
||||
// AI didn't find a match - check if it explicitly rejected or just failed
|
||||
if (aiResult?.MatchType == "NoMatch")
|
||||
{
|
||||
// AI explicitly rejected. Only override if fuzzy match passes strict validation:
|
||||
// 1. High fuzzy score (>= 90%)
|
||||
// 2. ALL core identifying words from original name appear in the match
|
||||
// 3. Match doesn't have significantly more core words (prevents partial word matches)
|
||||
// AI explicitly rejected. Only override if fuzzy match passes STRICT validation.
|
||||
// We trust the AI's judgment - only override in clear-cut cases where
|
||||
// the fuzzy match is essentially identical to the original OR has only safe expansions.
|
||||
if (bestFuzzy.HasValue && bestFuzzy.Value.Score >= 90)
|
||||
{
|
||||
var originalCores = ExtractCoreIdentifiers(normalizedName);
|
||||
@@ -363,18 +628,33 @@ public sealed class CompanyVerifierService : ICompanyVerifierService
|
||||
var allCoresPresent = originalCores.Count == 0 ||
|
||||
originalCores.All(c => bestFuzzy.Value.Item.Title.Contains(c, StringComparison.OrdinalIgnoreCase));
|
||||
|
||||
// Match shouldn't have too many extra core words (max 2 extra, e.g., "GROUP PLC")
|
||||
var extraCores = matchCores.Count(c => !originalCores.Any(o =>
|
||||
c.Equals(o, StringComparison.OrdinalIgnoreCase)));
|
||||
var reasonableExtras = extraCores <= 2;
|
||||
// Count MEANINGFUL extra core words (excluding safe expansions like UK, LIMITED, COMPANY)
|
||||
var meaningfulExtras = CountMeaningfulExtraWords(originalCores, matchCores);
|
||||
|
||||
if (allCoresPresent && reasonableExtras)
|
||||
// For short company names (1-2 core words), no meaningful extras allowed
|
||||
// For longer names, allow up to 1 meaningful extra
|
||||
// But if it's a well-known brand matching an acceptable pattern, allow more
|
||||
var isShortName = originalCores.Count <= 2;
|
||||
var maxAllowedExtras = isShortName ? 0 : 1;
|
||||
|
||||
// Well-known brand override: if the match fits acceptable patterns, allow it
|
||||
var brandOverride = wellKnownBrand != null &&
|
||||
MatchesWellKnownBrandPatterns(bestFuzzy.Value.Item.Title, wellKnownBrand);
|
||||
|
||||
var reasonableExtras = meaningfulExtras <= maxAllowedExtras || brandOverride;
|
||||
|
||||
// Additional check: if match has significantly MORE core words than original,
|
||||
// it's likely a different company entirely
|
||||
var coreDifference = matchCores.Count - originalCores.Count;
|
||||
var acceptableCoreDifference = coreDifference <= 2; // Allow 2 extra total (could be safe expansions)
|
||||
|
||||
if (allCoresPresent && reasonableExtras && acceptableCoreDifference)
|
||||
{
|
||||
_logger.LogInformation(
|
||||
"AI rejected '{CompanyName}' but fuzzy match '{MatchedName}' ({Score}%) passes validation. " +
|
||||
"Original cores: [{OriginalCores}], Match cores: [{MatchCores}]",
|
||||
"Original cores: [{OriginalCores}], Match cores: [{MatchCores}], MeaningfulExtras: {Extra}, BrandOverride: {Override}",
|
||||
normalizedName, bestFuzzy.Value.Item.Title, bestFuzzy.Value.Score,
|
||||
string.Join(", ", originalCores), string.Join(", ", matchCores));
|
||||
string.Join(", ", originalCores), string.Join(", ", matchCores), meaningfulExtras, brandOverride);
|
||||
matchedItem = bestFuzzy.Value.Item;
|
||||
matchScore = bestFuzzy.Value.Score;
|
||||
}
|
||||
@@ -382,8 +662,8 @@ public sealed class CompanyVerifierService : ICompanyVerifierService
|
||||
{
|
||||
_logger.LogDebug(
|
||||
"AI rejected '{CompanyName}' and fuzzy match '{MatchedName}' fails validation. " +
|
||||
"AllCoresPresent: {AllCores}, ExtraCores: {Extra}",
|
||||
normalizedName, bestFuzzy.Value.Item.Title, allCoresPresent, extraCores);
|
||||
"AllCoresPresent: {AllCores}, MeaningfulExtras: {Extra} (max: {MaxAllowed}), CoreDiff: {CoreDiff}, BrandOverride: {Override}",
|
||||
normalizedName, bestFuzzy.Value.Item.Title, allCoresPresent, meaningfulExtras, maxAllowedExtras, coreDifference, brandOverride);
|
||||
return CreateUnverifiedResult(companyName, startDate, endDate, jobTitle,
|
||||
"Company name could not be verified - no matching company found in official records");
|
||||
}
|
||||
@@ -841,6 +1121,162 @@ public sealed class CompanyVerifierService : ICompanyVerifierService
|
||||
return normalized;
|
||||
}
|
||||
|
||||
/// <summary>
|
||||
/// Detects if a company name indicates self-employment or freelance work.
|
||||
/// </summary>
|
||||
private static bool IsSelfEmployment(string companyName)
|
||||
{
|
||||
var lower = companyName.ToLowerInvariant().Trim();
|
||||
|
||||
// Exact matches
|
||||
var selfEmployedTerms = new HashSet<string>(StringComparer.OrdinalIgnoreCase)
|
||||
{
|
||||
"self-employed", "self employed", "selfemployed",
|
||||
"freelance", "freelancer", "free-lance", "free lance",
|
||||
"contractor", "independent contractor",
|
||||
"sole trader", "sole-trader", "soletrader",
|
||||
"consultant", "independent consultant",
|
||||
"self", "myself", "own business", "own company",
|
||||
"private practice", "private consultancy",
|
||||
"portfolio career", "various clients",
|
||||
"contract work", "contracting"
|
||||
};
|
||||
|
||||
if (selfEmployedTerms.Contains(lower))
|
||||
return true;
|
||||
|
||||
// Pattern matches
|
||||
if (lower.StartsWith("self-employed") || lower.StartsWith("self employed"))
|
||||
return true;
|
||||
if (lower.StartsWith("freelance") || lower.StartsWith("free-lance"))
|
||||
return true;
|
||||
if (lower.EndsWith("(self-employed)") || lower.EndsWith("(freelance)"))
|
||||
return true;
|
||||
if (lower.Contains("self-employed as") || lower.Contains("freelancing as"))
|
||||
return true;
|
||||
|
||||
return false;
|
||||
}
|
||||
|
||||
/// <summary>
|
||||
/// Detects if a company name indicates an overseas/international company not registered in the UK.
|
||||
/// Returns the detected country if found, null otherwise.
|
||||
/// </summary>
|
||||
private static (string Country, string BaseName)? DetectOverseasCompany(string companyName)
|
||||
{
|
||||
var lower = companyName.ToLowerInvariant();
|
||||
|
||||
// Countries and their variations that indicate non-UK companies
|
||||
var overseasCountries = new Dictionary<string[], string>
|
||||
{
|
||||
// North America
|
||||
{ new[] { "canada", "canadian" }, "Canada" },
|
||||
{ new[] { "usa", "u.s.a.", "u.s.", "united states", "american", "america" }, "United States" },
|
||||
{ new[] { "mexico", "mexican" }, "Mexico" },
|
||||
|
||||
// Europe (non-UK)
|
||||
{ new[] { "ireland", "irish", "eire", "dublin" }, "Ireland" },
|
||||
{ new[] { "france", "french", "paris" }, "France" },
|
||||
{ new[] { "germany", "german", "deutsche", "berlin", "munich" }, "Germany" },
|
||||
{ new[] { "spain", "spanish", "madrid", "barcelona" }, "Spain" },
|
||||
{ new[] { "italy", "italian", "milan", "rome" }, "Italy" },
|
||||
{ new[] { "netherlands", "dutch", "holland", "amsterdam" }, "Netherlands" },
|
||||
{ new[] { "belgium", "belgian", "brussels" }, "Belgium" },
|
||||
{ new[] { "switzerland", "swiss", "zurich", "geneva" }, "Switzerland" },
|
||||
{ new[] { "austria", "austrian", "vienna" }, "Austria" },
|
||||
{ new[] { "sweden", "swedish", "stockholm" }, "Sweden" },
|
||||
{ new[] { "norway", "norwegian", "oslo" }, "Norway" },
|
||||
{ new[] { "denmark", "danish", "copenhagen" }, "Denmark" },
|
||||
{ new[] { "finland", "finnish", "helsinki" }, "Finland" },
|
||||
{ new[] { "poland", "polish", "warsaw" }, "Poland" },
|
||||
{ new[] { "portugal", "portuguese", "lisbon" }, "Portugal" },
|
||||
{ new[] { "greece", "greek", "athens" }, "Greece" },
|
||||
{ new[] { "cyprus", "cypriot", "nicosia" }, "Cyprus" },
|
||||
{ new[] { "czech", "prague" }, "Czech Republic" },
|
||||
{ new[] { "hungary", "hungarian", "budapest" }, "Hungary" },
|
||||
{ new[] { "romania", "romanian", "bucharest" }, "Romania" },
|
||||
|
||||
// Asia Pacific
|
||||
{ new[] { "australia", "australian", "sydney", "melbourne" }, "Australia" },
|
||||
{ new[] { "new zealand", "nz", "auckland", "wellington" }, "New Zealand" },
|
||||
{ new[] { "japan", "japanese", "tokyo" }, "Japan" },
|
||||
{ new[] { "china", "chinese", "beijing", "shanghai", "hong kong" }, "China" },
|
||||
{ new[] { "india", "indian", "mumbai", "delhi", "bangalore" }, "India" },
|
||||
{ new[] { "singapore", "singaporean" }, "Singapore" },
|
||||
{ new[] { "malaysia", "malaysian", "kuala lumpur" }, "Malaysia" },
|
||||
{ new[] { "korea", "korean", "seoul" }, "South Korea" },
|
||||
{ new[] { "taiwan", "taiwanese", "taipei" }, "Taiwan" },
|
||||
{ new[] { "thailand", "thai", "bangkok" }, "Thailand" },
|
||||
{ new[] { "philippines", "filipino", "manila" }, "Philippines" },
|
||||
{ new[] { "indonesia", "indonesian", "jakarta" }, "Indonesia" },
|
||||
{ new[] { "vietnam", "vietnamese", "hanoi", "ho chi minh" }, "Vietnam" },
|
||||
|
||||
// Middle East & Africa
|
||||
{ new[] { "uae", "u.a.e.", "dubai", "abu dhabi", "emirates" }, "UAE" },
|
||||
{ new[] { "saudi", "riyadh", "jeddah" }, "Saudi Arabia" },
|
||||
{ new[] { "qatar", "doha" }, "Qatar" },
|
||||
{ new[] { "israel", "israeli", "tel aviv" }, "Israel" },
|
||||
{ new[] { "south africa", "johannesburg", "cape town" }, "South Africa" },
|
||||
{ new[] { "egypt", "egyptian", "cairo" }, "Egypt" },
|
||||
{ new[] { "nigeria", "nigerian", "lagos" }, "Nigeria" },
|
||||
{ new[] { "kenya", "kenyan", "nairobi" }, "Kenya" },
|
||||
|
||||
// South America
|
||||
{ new[] { "brazil", "brazilian", "sao paulo", "rio" }, "Brazil" },
|
||||
{ new[] { "argentina", "argentine", "buenos aires" }, "Argentina" },
|
||||
{ new[] { "chile", "chilean", "santiago" }, "Chile" },
|
||||
{ new[] { "colombia", "colombian", "bogota" }, "Colombia" },
|
||||
};
|
||||
|
||||
// Check for country indicators at the end or in the name
|
||||
foreach (var (terms, country) in overseasCountries)
|
||||
{
|
||||
foreach (var term in terms)
|
||||
{
|
||||
// Check if name ends with country (e.g., "BMW Group Canada")
|
||||
if (lower.EndsWith(" " + term))
|
||||
{
|
||||
var baseName = companyName[..^(term.Length + 1)].Trim();
|
||||
return (country, baseName);
|
||||
}
|
||||
|
||||
// Check for patterns like "Company Name (Country)" or "Company Name - Country"
|
||||
if (lower.EndsWith($"({term})") || lower.EndsWith($"- {term}") || lower.EndsWith($", {term}"))
|
||||
{
|
||||
var idx = lower.LastIndexOf(term);
|
||||
var baseName = companyName[..(idx - 2)].Trim().TrimEnd('(', '-', ',').Trim();
|
||||
return (country, baseName);
|
||||
}
|
||||
|
||||
// Check for "Country Office" or "Country Branch" patterns
|
||||
if (lower.Contains($"{term} office") || lower.Contains($"{term} branch") ||
|
||||
lower.Contains($"{term} division") || lower.Contains($"{term} operations"))
|
||||
{
|
||||
return (country, companyName);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Check for international organization patterns
|
||||
var internationalPatterns = new[]
|
||||
{
|
||||
"national guard", "armed forces", "military", "army", "navy", "air force",
|
||||
"embassy", "consulate", "foreign ministry",
|
||||
"max planck", "fraunhofer", "cnrs", "csiro", "nasa", "esa",
|
||||
"world bank", "imf", "united nations", "un ", "nato", "who ", "unesco"
|
||||
};
|
||||
|
||||
foreach (var pattern in internationalPatterns)
|
||||
{
|
||||
if (lower.Contains(pattern))
|
||||
{
|
||||
return ("International", companyName);
|
||||
}
|
||||
}
|
||||
|
||||
return null;
|
||||
}
|
||||
|
||||
/// <summary>
|
||||
/// Attempts to verify compound company names by detecting if multiple companies are mentioned.
|
||||
/// Only triggers for names with potential separators (/, &, "and") to avoid unnecessary AI calls.
|
||||
@@ -920,8 +1356,18 @@ public sealed class CompanyVerifierService : ICompanyVerifierService
|
||||
return null;
|
||||
}
|
||||
|
||||
// Extract core identifiers from the original company name
|
||||
var originalCoreWords = ExtractCoreIdentifiers(companyName);
|
||||
|
||||
var matches = cachedCompanies
|
||||
.Where(c => !string.IsNullOrWhiteSpace(c.CompanyName))
|
||||
.Where(c =>
|
||||
{
|
||||
// All original core words must appear in the cached company name
|
||||
var cachedTitle = c.CompanyName.ToUpperInvariant();
|
||||
return originalCoreWords.Count == 0 ||
|
||||
originalCoreWords.All(w => cachedTitle.Contains(w));
|
||||
})
|
||||
.Select(c => new { Company = c, Score = Fuzz.TokenSetRatio(companyName.ToUpperInvariant(), c.CompanyName.ToUpperInvariant()) })
|
||||
.Where(m => m.Score >= FuzzyMatchThreshold)
|
||||
.OrderByDescending(m => m.Score)
|
||||
@@ -962,20 +1408,29 @@ public sealed class CompanyVerifierService : ICompanyVerifierService
|
||||
var itemTitleLower = item.Title.ToLowerInvariant();
|
||||
var itemCoreWords = ExtractCoreIdentifiers(item.Title);
|
||||
|
||||
// Validate that ALL core identifiers appear in the match
|
||||
// "Lloyds Bowmaker" must have BOTH "LLOYDS" and "BOWMAKER" in the match
|
||||
// Validate that ALL core identifiers from the ORIGINAL company name appear in the match
|
||||
// "Northwick Industries Limited" must have BOTH "NORTHWICK" and "INDUSTRIES" in the match
|
||||
// This prevents partial search queries (e.g., "Northwick") from bypassing validation
|
||||
var hasAllOriginalCores = coreWords.Count == 0 || coreWords.All(w => itemTitle.Contains(w));
|
||||
var hasAllQueryCores = queryCoreWords.Count == 0 || queryCoreWords.All(w => itemTitle.Contains(w));
|
||||
if (!hasAllOriginalCores && !hasAllQueryCores) return false;
|
||||
if (!hasAllOriginalCores) return false;
|
||||
|
||||
// Additional check: ensure the match doesn't have too many EXTRA core words
|
||||
// Additional check: ensure the match doesn't have too many EXTRA MEANINGFUL core words
|
||||
// "Families First" should NOT match "Families Against Conformity" because
|
||||
// "Against" and "Conformity" are extra significant words
|
||||
// BUT: safe expansions like "UK", "LIMITED", "COMPANY", "GROUP" don't count
|
||||
// So "Boots" -> "BOOTS UK LIMITED" is OK (no meaningful extras)
|
||||
// But "Boots" -> "BOOTS AND BEARDS" is NOT OK (BEARDS is meaningful extra)
|
||||
if (coreWords.Count > 0 && hasAllOriginalCores)
|
||||
{
|
||||
var extraWordsInMatch = itemCoreWords.Count(w => !coreWords.Contains(w));
|
||||
// If the match has more than 1 extra core word, it's likely a different company
|
||||
if (extraWordsInMatch > 1 && itemCoreWords.Count > coreWords.Count + 1)
|
||||
// Count only MEANINGFUL extra words (not safe expansions)
|
||||
var meaningfulExtras = CountMeaningfulExtraWords(coreWords, itemCoreWords);
|
||||
var isShortName = coreWords.Count <= 2;
|
||||
|
||||
// For short names: no meaningful extras allowed (prevents "Boots" → "BOOTS AND BEARDS")
|
||||
// For longer names: allow up to 1 meaningful extra
|
||||
var maxAllowedExtras = isShortName ? 0 : 1;
|
||||
|
||||
if (meaningfulExtras > maxAllowedExtras)
|
||||
{
|
||||
return false;
|
||||
}
|
||||
@@ -1475,6 +1930,88 @@ public sealed class CompanyVerifierService : ICompanyVerifierService
|
||||
return System.Text.RegularExpressions.Regex.IsMatch(text, pattern, System.Text.RegularExpressions.RegexOptions.IgnoreCase);
|
||||
}
|
||||
|
||||
/// <summary>
|
||||
/// Checks if a CV company name matches a well-known brand and returns its info.
|
||||
/// </summary>
|
||||
private static WellKnownBrand? GetWellKnownBrand(string companyName)
|
||||
{
|
||||
if (string.IsNullOrWhiteSpace(companyName))
|
||||
return null;
|
||||
|
||||
// Try exact match first
|
||||
if (WellKnownBrands.TryGetValue(companyName.Trim(), out var brand))
|
||||
return brand;
|
||||
|
||||
// Try with common suffixes removed
|
||||
var normalized = companyName.Trim();
|
||||
var suffixes = new[] { " Ltd", " Limited", " PLC", " UK", " Group" };
|
||||
foreach (var suffix in suffixes)
|
||||
{
|
||||
if (normalized.EndsWith(suffix, StringComparison.OrdinalIgnoreCase))
|
||||
{
|
||||
var withoutSuffix = normalized[..^suffix.Length].Trim();
|
||||
if (WellKnownBrands.TryGetValue(withoutSuffix, out brand))
|
||||
return brand;
|
||||
}
|
||||
}
|
||||
|
||||
return null;
|
||||
}
|
||||
|
||||
/// <summary>
|
||||
/// Checks if a candidate company name matches a well-known brand's acceptable patterns.
|
||||
/// </summary>
|
||||
private static bool MatchesWellKnownBrandPatterns(string candidateName, WellKnownBrand brand)
|
||||
{
|
||||
var upper = candidateName.ToUpperInvariant();
|
||||
return brand.AcceptablePatterns.Any(p => upper.Contains(p.ToUpperInvariant()));
|
||||
}
|
||||
|
||||
/// <summary>
|
||||
/// Counts "meaningful" extra words in a candidate that aren't in the original.
|
||||
/// Excludes safe expansion words (UK, Limited, Company, Group, etc.)
|
||||
/// </summary>
|
||||
private static int CountMeaningfulExtraWords(List<string> originalCoreWords, List<string> candidateCoreWords)
|
||||
{
|
||||
var extraWords = candidateCoreWords
|
||||
.Where(w => !originalCoreWords.Any(o => o.Equals(w, StringComparison.OrdinalIgnoreCase)))
|
||||
.Where(w => !SafeExpansionWords.Contains(w))
|
||||
.ToList();
|
||||
|
||||
return extraWords.Count;
|
||||
}
|
||||
|
||||
/// <summary>
|
||||
/// Determines if the extra words in a candidate are "safe" expansions that don't change company identity.
|
||||
/// E.g., "Boots" -> "BOOTS UK LIMITED" has only safe expansions (UK, LIMITED)
|
||||
/// E.g., "Boots" -> "BOOTS AND BEARDS" has unsafe expansion (BEARDS)
|
||||
/// </summary>
|
||||
private static bool HasOnlySafeExpansions(string originalName, string candidateName, ILogger? logger = null)
|
||||
{
|
||||
var originalCores = ExtractCoreIdentifiers(originalName);
|
||||
var candidateCores = ExtractCoreIdentifiers(candidateName);
|
||||
|
||||
// Find words in candidate that aren't in original
|
||||
var extraWords = candidateCores
|
||||
.Where(w => !originalCores.Any(o => o.Equals(w, StringComparison.OrdinalIgnoreCase)))
|
||||
.ToList();
|
||||
|
||||
// Check if all extra words are safe expansions
|
||||
var unsafeWords = extraWords
|
||||
.Where(w => !SafeExpansionWords.Contains(w))
|
||||
.ToList();
|
||||
|
||||
if (unsafeWords.Count > 0 && logger != null)
|
||||
{
|
||||
logger.LogDebug("Candidate '{Candidate}' has unsafe extra words: [{Unsafe}] (safe extras: [{Safe}])",
|
||||
candidateName,
|
||||
string.Join(", ", unsafeWords),
|
||||
string.Join(", ", extraWords.Where(w => SafeExpansionWords.Contains(w))));
|
||||
}
|
||||
|
||||
return unsafeWords.Count == 0;
|
||||
}
|
||||
|
||||
// Expanded skip words list for core identifier extraction
|
||||
// These words are too common to be meaningful differentiators between companies
|
||||
private static readonly HashSet<string> SkipWords = new(StringComparer.OrdinalIgnoreCase)
|
||||
@@ -1502,17 +2039,20 @@ public sealed class CompanyVerifierService : ICompanyVerifierService
|
||||
"company", "co", "partners", "partnership", "enterprises", "unlimited",
|
||||
"registered", "cic", "cio", "se", "ag", "gmbh", "sarl", "bv", "nv",
|
||||
|
||||
// Business descriptors
|
||||
// Business descriptors - only truly generic ones that don't identify the business type
|
||||
// Note: Removed words that can be meaningful business type identifiers:
|
||||
// - "industries", "technology", "solutions", "services", "consulting" - identify business type
|
||||
// - e.g., "Paramount Consulting" ≠ "Paramount", "Tech Solutions" ≠ "Tech"
|
||||
"group", "holdings", "holding", "parent", "subsidiary", "division", "branch",
|
||||
"services", "service", "solutions", "solution", "consulting", "consultants", "consultancy",
|
||||
"management", "systems", "system", "technologies", "technology", "tech",
|
||||
"industries", "industry", "industrial", "commercial", "trading", "trade",
|
||||
"business", "businesses", "operations", "operational", "professional", "professionals",
|
||||
"resources", "resource", "network", "networks", "associates", "associated",
|
||||
"commercial", "trading", "trade",
|
||||
"business", "businesses", "operational",
|
||||
"associated",
|
||||
|
||||
// Size/Scope descriptors
|
||||
"national", "international", "global", "worldwide", "world", "regional", "local",
|
||||
"universal", "general", "standard", "premier", "prime", "first", "one",
|
||||
"universal", "standard", "prime", "first", "one",
|
||||
// Note: Removed "general" and "premier" as they are meaningful in brand names
|
||||
// like "Legal & General", "General Electric", "Premier Inn"
|
||||
|
||||
// Quality/Marketing terms
|
||||
"new", "modern", "advanced", "innovative", "premier", "elite", "premium",
|
||||
|
||||
Reference in New Issue
Block a user