Synapse combines two-phase dense retrieval with LLM-guided differential evolution to optimize job-candidate alignment, reporting 22% nDCG@10 gains and over 60% relative score improvements.
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Controlled personalization combining editorial curation with modest algorithmic recommendations in legacy news increases engagement, diversity, and reduces popularity bias per an A/B test.
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Synapse: Evolving Job-Person Fit with Explainable Two-phase Retrieval and LLM-guided Genetic Resume Optimization
Synapse combines two-phase dense retrieval with LLM-guided differential evolution to optimize job-candidate alignment, reporting 22% nDCG@10 gains and over 60% relative score improvements.
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Controlled Personalization in Legacy Media Online Services: A Case Study in News Recommendation
Controlled personalization combining editorial curation with modest algorithmic recommendations in legacy news increases engagement, diversity, and reduces popularity bias per an A/B test.