Work

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

Year: 2024

Type: conference-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.

Source: ACM Conference on Recommender Systems (RecSys)

DOI: 10.1145/3640457.3688034

Authors: Moumita Bhattacharya, Vito Ostuni, Sudarshan Lamkhede

Institution: Netflix (United States)

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W4403221045

FWCI: 1.537

Cites: 4

Cited by: 4

Related to: 10