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 language | English |
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Title of host publication | RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems |
Publisher | Association for Computing Machinery, Inc |
Pages | 1227-1228 |
Number of pages | 2 |
ISBN (Electronic) | 9798400705052 |
DOIs | |
State | Published - 8 Oct 2024 |
Event | 18th ACM Conference on Recommender Systems, RecSys 2024 - Bari, Italy Duration: 14 Oct 2024 → 18 Oct 2024 |
Publication series
Name | RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems |
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Conference
Conference | 18th ACM Conference on Recommender Systems, RecSys 2024 |
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Country/Territory | Italy |
City | Bari |
Period | 14/10/24 → 18/10/24 |
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