Talha Ahmed cec3be73fb Title tier of relevance_score accepts token containment ... Live case: the job titled "Generative Engineer" sourced a pool titled "Generative AI Engineer" -- the exact phrase never occurs in that title, so every genuine match fell through to the scattered 35 tier and the whole pool compressed into the 40s. A current title containing every job-title token now earns the full 55. The headline tier stays phrase-only so keyword-stuffed headlines still cap at the 35 tier. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>		2026-08-25 19:46:34 +05:00
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conftest.py	Talent tab: LinkedIn sourcing per job via Apify	2026-08-20 22:27:18 +05:00
test_candidate_forms.py	Candidate hiring forms (Annexure A/E/J), full-page profile, UX audit fixes	2026-08-24 20:14:36 +05:00
test_linkedin_matching.py	Dashboard audit fixes, Find Talent rename, already-applied matching	2026-08-21 20:12:16 +05:00
test_reports_and_ask.py	Analytics: report library, NL ask, TTH baseline, source spend	2026-08-21 17:24:35 +05:00
test_talent_plugins.py	Title tier of relevance_score accepts token containment	2026-08-25 19:46:34 +05:00