RecTemp: Temporal Reasoning in Recommendation Systems
Pages 1227 - 1228
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.
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Index Terms
- RecTemp: Temporal Reasoning in Recommendation Systems
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Published In
October 2024
1438 pages
ISBN:9798400705052
DOI:10.1145/3640457
Copyright © 2024 Owner/Author.
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- SIGKDD: ACM Special Interest Group on Knowledge Discovery in Data
- SIGIR: ACM Special Interest Group on Information Retrieval
- SIGCHI: ACM Special Interest Group on Computer-Human Interaction
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Association for Computing Machinery
New York, NY, United States
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Published: 08 October 2024
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