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

2024/08/19 by Bhattacharya, Moumita, Ostuni, Vito, Lamkhede, Sudarshan · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)

paper · doi:10.48550/arxiv.2408.10394

Abstract

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.

Cited by

• FinTRec: Transformer Based Unified Contextual Ads Targeting and Personalization for Financial Applications
• Semantic IDs for Joint Generative Search and Recommendation

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