Filter by Category:
Weight
High — core matching factor
Medium — moderate influence
Low — contextual signal
Implementation
LLM AI extraction / NLP analysis
Psycho Validated psychometric test
Logic Rule / scoring engine
Ext API External data lookup
Graph Network intelligence
ML Trained predictive model
Behav Behavioral tracking
I Phase 1 — Foundation Identity Verification & Profile Authentication Signals 1–26
#SignalSourceCategoryWeightImplementation
01Full legal name
Extracted from government-issued ID; master name for all cross-platform matching and verification
Gov. IDIdentityHighLLM
02Date of birth — verified
Confirmed from government ID; cross-checked against profile stated age; discrepancy over 3 years is a flag
Gov. IDIdentityHighLLM
03ID number format and checksum validity
Country/province-specific format regex and checksum logic; invalid format = immediate hard flag
Gov. IDIdentityHighLogic
04ID expiry validity
Expired government ID is an immediate critical flag; document must be currently valid at time of submission
Gov. IDIdentityHighLogic
05Document tampering — government ID
Font inconsistency, pixel halos, hologram region anomaly, edge distortion, altered field detection
Gov. IDFraudHighLLM
06Face liveness detection
Selfie vs ID photo biometric comparison with liveness check; confirms person submitting is the genuine ID holder
Selfie + Gov. IDIdentityHighML
07Deepfake detection on profile photos
GAN artifact pattern analysis on all submitted profile photos; synthetic face probability scored per image
Profile PhotosFraudHighML
08Stolen photo detection
Reverse image search on profile photos; photos found on unrelated accounts or stock image sites are flagged
Profile PhotosFraudHighExt API
09Profile name vs legal name match
Display name fuzzy-matched against legal name; significantly different names without a known alias pattern flagged
Profile + Gov. IDIdentityMediumLogic
10Stated age vs verified age delta
Profile-stated age vs ID-verified age; more than 3 years discrepancy is flagged as misrepresentation
Profile + Gov. IDIdentityHighLogic
11Phone number uniqueness
Mobile number must be associated with only one active account; shared numbers indicate multi-account or bot activity
RegistrationIdentityHighLogic
12Email domain plausibility
Temporary or disposable email domains flagged; single-use email services are a fraud onboarding signal
RegistrationIdentityMediumLogic
13Device fingerprint uniqueness
Same device used for multiple distinct identity accounts is a strong fake profile or bot signal
BehavioralFraudHighGraph
14IP geolocation vs stated location
Significant mismatch between registration IP location and stated city; persistent VPN use flagged as soft signal
BehavioralFraudMediumExt API
15Social media account linkage
Optional linkage to LinkedIn / Instagram; linked accounts with age and activity increase identity confidence
Ext APIIdentityMediumExt API
16Social account age and activity plausibility
Linked social accounts less than 3 months old with low activity are soft fraud signals for fake identity
Ext APIFraudMediumExt API
17Profile photo vs social media photo match
Biometric comparison of profile photos against linked social accounts confirms identity consistency
Profile + SocialIdentityHighML
18Criminal record / sex offender registry check
Name + DOB cross-referenced against publicly available criminal and sex offender registries by jurisdiction
Ext APIFraudHighExt API
19Marital status self-declaration
User-declared status: single / divorced / widowed; cross-checked against available public records where accessible
ProfileIdentityHighLogic
20Marital status vs public record check
Active marriage registration not dissolved, contradicting a "single" declaration, is a critical integrity flag
Ext APIFraudHighExt API
21Education credential stated
Highest education level self-reported; used in compatibility scoring but not independently verified in phase 1
ProfileIdentityLowLogic
22Occupation and employer stated
Self-declared occupation and employer; used for socioeconomic context and compatibility; verified in phase 2
ProfileIdentityLowLogic
23Location — city and region plausibility
Stated city confirmed against IP, phone area code, and postal code; implausible three-way mismatches flagged
Profile + Ext APIIdentityMediumExt API
24Account velocity check
Multiple accounts from same device, IP, or phone within 30 days is a fraud ring or bot operation signal
GraphFraudHighGraph
25Previously banned identity detection
Name + DOB + ID number cross-checked against platform ban list and partner network ban lists
GraphFraudHighGraph
26Profile completeness score
Ratio of completed profile fields; low completion reduces compatibility signal quality and match confidence score
ProfileIdentityMediumLogic
II Phase 2 — Depth Personality Profiling, Lifestyle & Values Assessment Signals 27–58
#SignalSourceCategoryWeightImplementation
27Big Five personality scores (OCEAN)
Openness, Conscientiousness, Extraversion, Agreeableness, Neuroticism via validated 60-item psychometric questionnaire
PsychometricPersonalityHighPsycho
28Attachment style classification
Secure / anxious / avoidant / disorganized — derived from validated ECR-R questionnaire; strongly predictive of relationship outcomes
PsychometricPersonalityHighPsycho
29Love language preference
Primary and secondary love languages: words of affirmation, quality time, acts of service, physical gifts, physical touch
QuestionnairePersonalityHighPsycho
30Conflict resolution style
Collaborative / avoidant / competitive / accommodating / compromising — assessed via scenario-based questions
QuestionnairePersonalityHighPsycho
31Communication style preference
Direct vs indirect, verbal vs written, frequency of check-ins expected; scored on validated communication scale
QuestionnairePersonalityHighPsycho
32Emotional intelligence score (EQ)
Self-awareness, empathy, emotional regulation, social skills — derived from 40-item validated EI assessment battery
PsychometricPersonalityHighPsycho
33Introversion / extraversion energy preference
How does the person recharge? Solo time vs social time balance scored on a continuous scale, not a binary category
QuestionnairePersonalityMediumPsycho
34Humor style and playfulness index
Affiliative / self-enhancing / aggressive / self-defeating; playfulness score is correlated with relationship satisfaction in research
QuestionnairePersonalityMediumPsycho
35Physical activity level and preferences
Gym, outdoor sports, yoga, sedentary — frequency and intensity scored; used for day-to-day lifestyle compatibility
QuestionnaireLifestyleMediumLogic
36Dietary preferences and restrictions
Vegan / vegetarian / halal / kosher / omnivore; strict vs flexible; important for shared meal and social compatibility
QuestionnaireLifestyleMediumLogic
37Alcohol and substance use stance
Non-drinker / social / regular / heavy; teetotaler matched with heavy drinker is a high-friction daily-life pairing
QuestionnaireLifestyleHighLogic
38Smoking status
Smoker / non-smoker / occasional; common dealbreaker; hard-filtered when both parties mark it as a dealbreaker
ProfileLifestyleHighLogic
39Sleep schedule and chronotype
Early bird vs night owl; extreme chronotype mismatches are correlated with relationship stress in longitudinal studies
QuestionnaireLifestyleMediumLogic
40Neatness and living space standards
Tidiness preferences on a 5-point scale; critical for cohabitation compatibility; strong mismatch is a daily friction point
QuestionnaireLifestyleMediumLogic
41Travel frequency and style
Backpacker vs luxury hotel; domestic vs international; frequency per year; adventure vs relaxation preference
QuestionnaireLifestyleMediumLogic
42Social life preferences
Frequency of going out, hosting vs attending, party crowd vs quiet gatherings; social energy level alignment
QuestionnaireLifestyleMediumLogic
43Pet ownership and stance
Owns pets / wants pets / allergic / dislikes pets; pet allergies and strong aversions are hard compatibility blockers
ProfileLifestyleMediumLogic
44Living arrangement intention
Wants to move in soon / prefers living apart together / undecided; cohabitation timeline alignment scored
QuestionnaireLifestyleHighLogic
45Children — desire and timeline
Wants children / doesn't / open; preferred number and timeline; the most common long-term relationship dealbreaker category
QuestionnaireValuesHighLogic
46Religious beliefs and practice level
Faith tradition and practice intensity — practicing / cultural / non-practicing / atheist; shared faith importance weighted
QuestionnaireValuesHighLogic
47Political orientation
Self-placed on political spectrum; used for optional compatibility filtering with explicit user consent; never shown to others
QuestionnaireValuesMediumLogic
48Financial values and spending philosophy
Saver vs spender, financial risk tolerance, views on shared finances; money conflict is a leading relationship stress driver
QuestionnaireValuesHighLogic
49Career ambition and work-life balance stance
Career-first vs family-first vs balanced; ambition alignment reduces long-term resentment in committed relationships
QuestionnaireValuesHighLogic
50Family involvement expectations
Role of extended family in couple's life; visits, holidays, financial entanglement; critical for cultural compatibility
QuestionnaireValuesHighLogic
51Relationship type and exclusivity
Monogamous / ethically non-monogamous / undecided; hard-filtered to prevent mismatched relationship structure expectations
ProfileValuesHighLogic
52Relationship intention — seriousness
Casual dating / long-term partnership / marriage-minded; intention alignment is the most basic compatibility hard filter
ProfileValuesHighLogic
53Hobbies and interest overlap
Free-text hobbies parsed and taxonomized by LLM; shared interests increase early chemistry probability and first-date ease
Profile + LLMLifestyleMediumLLM
54Bio writing style and emotional tone analysis
LLM analysis of free-text bio for personality signals, emotional tone, red-flag language, and authenticity vs template copying
Profile + LLMPersonalityMediumLLM
55Geographic flexibility for relocation
Willing to relocate / prefers local matches / open to long-distance; location rigidity significantly shrinks compatible pool
QuestionnaireValuesMediumLogic
56Mental health and therapy openness
Attitude toward therapy, mental health conversation, and chronic illness disclosure; openness scored for long-term compatibility
QuestionnaireValuesMediumLogic
57Cultural and ethnic background
Self-declared cultural background; used only when user enables cultural compatibility preference; never applied as a filter by default
ProfileValuesLowLogic
58Love style profile (Eros, Storge, Pragma, Ludus, Mania, Agape)
Lee's six love styles assessed via questionnaire; pragma and eros pairing dynamics modeled against longitudinal couple data
PsychometricLifestyleMediumPsycho
III Phase 3 — Intelligence Compatibility Engine, Behavioral Signals & Fraud Detection Signals 59–82
#SignalSourceCategoryWeightImplementation
59Big Five personality compatibility delta
Pair-wise OCEAN score comparison; high conscientiousness and agreeableness overlap predicts long-term relationship stability
Cross-profileCompatibilityHighML
60Attachment style pairing score
Secure + secure = highest probability; anxious + avoidant = high risk; modeled against longitudinal relationship outcome data
Cross-profileCompatibilityHighML
61Love language compatibility score
Overlap between giving and receiving love languages; mismatch between what one gives and what the other needs predicts friction
Cross-profileCompatibilityHighLogic
62Values alignment composite score
Composite score across children, religion, finances, family, career; misalignment on any single axis is heavily penalized
Cross-profileCompatibilityHighML
63Conflict style compatibility
Two avoidants suppress conflict until it explodes; collaborative + competitive pairing is productive; outcome-modeled
Cross-profileCompatibilityHighML
64Communication style compatibility
Direct communicator paired with highly indirect; high-frequency vs low-frequency check-in preference mismatch flagged
Cross-profileCompatibilityHighLogic
65Lifestyle compatibility composite score
Composite across sleep, activity, social, dietary, pet, tidiness signals; day-to-day friction predictor
Cross-profileCompatibilityHighML
66Physical attraction preference alignment
Stated physical preferences vs match profile; mutual stated attraction factors weighted symmetrically in both directions
Cross-profileCompatibilityMediumLogic
67Dealbreaker hard-filter pass
User-declared dealbreakers (smoking, children, religion) checked against match; any triggered dealbreaker removes the match entirely
Cross-profileCompatibilityHighLogic
68Socioeconomic compatibility index
Income bracket, financial goals, and lifestyle spend level compared; extremes noted for user awareness, not automatically penalized
Cross-profileCompatibilityMediumLogic
69Age gap and preference mutual alignment
Both users' age range preferences must mutually include each other; one-directional age range matches are downweighted
Cross-profileCompatibilityMediumLogic
70Response time pattern and ghosting signals
Average message response time and variance; consistent ghosting patterns negatively affect user reliability score over time
BehavioralCompatibilityMediumBehav
71Message sentiment and tone analysis
LLM analysis of conversation tone across time; early negativity, manipulation language, or love-bombing patterns flagged
Chat + LLMCompatibilityHighLLM + ML
72Romance scam pattern detection
LLM flags known romance scam escalation patterns: fast emotional intensity, money requests, offshore travel backstory
Chat + LLMFraudHighLLM + ML
73Financial solicitation detection
Any message containing money transfer requests, gift card asks, or investment pitches triggers immediate safety review
Chat + LLMFraudHighLLM
74Catfishing behavior pattern
User matches many but never meets; consistent video call refusals; inconsistent personal story detected across messages by LLM
Behavioral + LLMFraudHighML + LLM
75Harassment and abusive language detection
Real-time message moderation for explicit abuse, sexual harassment, coercive language, and threatening content across all conversations
Chat + MLFraudHighML
76Match-and-harvest pattern detection
Users with unusually high match rates who never progress to dates or conversations flagged for automated behavior review
BehavioralFraudMediumLogic
77Report and block frequency
Users frequently reported by other members have trust score progressively reduced; pattern of reports escalates to human review
GraphFraudHighGraph
78Video call verification completion
Users who complete a video call before first date receive a "video verified" badge; significantly raises trust score
PlatformCompatibilityMediumLogic
79Date confirmation and outcome feedback
Users confirm dates occurred and optionally submit outcome; this feedback data continuously trains the compatibility ML model
PlatformCompatibilityHighGraph
80Network fraud ring detection
Graph clustering on shared device, IP, photo hash, or template attributes identifies coordinated fake profile networks
GraphFraudHighGraph + ML
81Mutual social connection graph
Shared social connections via linked accounts; mutual friends positively affect early trust and conversation safety perception
Social GraphCompatibilityLowGraph
82Swipe behavior revealed preference analysis
Implicit preference signals from swipe history refine explicit stated preferences; stated preference ≠ revealed preference detection
BehavioralCompatibilityMediumML
IV Phase 4 — Output Score Aggregation, Explainability & Trust Layer Signals 83–92
#SignalSourceCategoryWeightImplementation
83Weighted compatibility score (0–100)
Composite score across all categories with research-calibrated weighting; values and attachment signals weighted highest
AggregateMetaHighML
84Identity trust score (0–100)
Separate score reflecting depth of identity verification; surfaced as a badge on profile visible to all potential matches
AggregateMetaHighLogic
85Compatibility category sub-scores
Separate scores for Personality, Lifestyle, Values — shown to both matches with mutual consent before or after conversation
AggregateMetaMediumLogic
86Plain-English compatibility narrative
LLM-generated match summary highlighting strengths and gentle discussion points: "You both prioritize family but differ on city vs suburbs"
Aggregate + LLMMetaHighLLM
87Red flag auto-escalation
Any single critical flag — fake ID, romance scam pattern, criminal match, financial solicitation — triggers immediate safety REVIEW
AggregateMetaHighLogic
88AI-generated conversation starters
Icebreaker questions generated based on shared interests and compatibility gaps; reduces opening message anxiety and rejection
Aggregate + LLMMetaLowLLM
89Model confidence score
How confident is the compatibility prediction given profile data completeness; low-confidence matches are flagged for users
AggregateMetaMediumML
90Network safety annotation
If either profile has network-level fraud signals, a private safety advisory is surfaced to the other user before engagement
GraphMetaHighGraph
91Compatibility model continuous feedback loop
Date outcomes, relationship reports, and ghosting data continuously retrain the ML model to improve match quality over time
Graph + MLMetaHighGraph + ML
92Portable verified identity certificate
Fully verified users receive a shareable cross-platform trust credential; builds network moat and reduces re-verification friction
GraphMetaHighGraph + ML