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Joint Modeling of Search and Recommendations Via an Unified Contextual Recommender (UniCoRn)

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arxiv 2408.10394 v1 pith:JN3GDVVT submitted 2024-08-19 cs.IR cs.AIcs.LG

Moumita Bhattacharya , Vito Ostuni , Sudarshan Lamkhede This is my paper · ORCID
classification cs.IRcs.AIcs.LG
keywords searchunifiedaspectscomplexcontextualdebtdeepdeveloped
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Search and recommendation systems are essential in many services, and they are often developed separately, leading to complex maintenance and technical debt. In this paper, we present a unified deep learning model that efficiently handles key aspects of both tasks.

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  1. LLM-Based User Personas for Recommendations at Scale

    cs.IR 2026-06 unverdicted novelty 6.0 of 10

    A framework for real-time LLM-based user interest personas in large-scale video recommendations, using distillation, async inference, and video clustering to balance interests with novel topics and improve viewer valu...

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