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

Moumita Bhattacharya, Vito Ostuni, Sudarshan Lamkhede
8/19/2024
cs.IRcs.AIcs.LG

No confident code implementation found for this paper.

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.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Cite this paper

@article{bhattacharya2024joint,
  title  = {Joint Modeling of Search and Recommendations Via an Unified Contextual Recommender (UniCoRn)},
  author = {Moumita Bhattacharya and Vito Ostuni and Sudarshan Lamkhede},
  year   = {2024},
  eprint = {2408.10394},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2408.10394v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2408.10394.svg)](https://codeofpaper.com/paper/2408.10394)

Discussion