RecTemp: Temporal Reasoning in Recommendation Systems

Adir Solomon, Tsvi Kuflik, Ido Guy, Bracha Shapira

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This workshop is dedicated to emphasizing the pivotal role of temporal dynamics in advancing recommender systems across various fields. While the significance of temporal factors in user behavior is widely acknowledged, effectively integrating these aspects into recommendation algorithms remains a complex challenge. In this workshop, we aim to showcase the application of temporal aspects in recommender systems across diverse domains such as healthcare, e-commerce, fashion, banking, travel, and film. We believe that this workshop will contribute to advancing temporal methodologies in recommender systems, ultimately leading to more precise recommendations.

Original languageEnglish
Title of host publicationRecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems
PublisherAssociation for Computing Machinery, Inc
Pages1227-1228
Number of pages2
ISBN (Electronic)9798400705052
DOIs
StatePublished - 8 Oct 2024
Event18th ACM Conference on Recommender Systems, RecSys 2024 - Bari, Italy
Duration: 14 Oct 202418 Oct 2024

Publication series

NameRecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems

Conference

Conference18th ACM Conference on Recommender Systems, RecSys 2024
Country/TerritoryItaly
CityBari
Period14/10/2418/10/24

Bibliographical note

Publisher Copyright:
© 2024 Copyright held by the owner/author(s).

Keywords

  • Recommender Systems
  • Sequential Models
  • Temporal Aspects

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Software
  • Control and Systems Engineering

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