Papers
arxiv:2408.10394
Joint Modeling of Search and Recommendations Via an Unified Contextual Recommender (UniCoRn)
Published on Aug 19, 2024
Authors:
Abstract
A unified deep learning model is presented that efficiently addresses core components of search and recommendation systems, reducing maintenance complexity and technical debt.
AI-generated summary
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.
Models citing this paper 0
No model linking this paper
Cite arxiv.org/abs/2408.10394 in a model README.md to link it from this page.
Datasets citing this paper 0
No dataset linking this paper
Cite arxiv.org/abs/2408.10394 in a dataset README.md to link it from this page.
Spaces citing this paper 0
No Space linking this paper
Cite arxiv.org/abs/2408.10394 in a Space README.md to link it from this page.
Collections including this paper 0
No Collection including this paper
Add this paper to a
collection
to link it from this page.