Joint Modeling of Search and Recommendations Via an Unified Contextual Recommender (UniCoRn)
arXiv:2408.10394v15 citationsh-index: 15
Originality Synthesis-oriented
AI Analysis
This addresses the issue of system complexity for developers and companies managing online services.
The paper tackles the problem of separate development of search and recommendation systems, which leads to maintenance complexity and technical debt, by presenting a unified deep learning model that efficiently handles both tasks.
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.