@inproceedings{c7594455467b4f20914cba62aca48fd9,
title = "RecTemp: Temporal Reasoning in Recommendation Systems",
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.",
keywords = "Recommender Systems, Sequential Models, Temporal Aspects",
author = "Adir Solomon and Tsvi Kuflik and Ido Guy and Bracha Shapira",
note = "Publisher Copyright: {\textcopyright} 2024 Copyright held by the owner/author(s).; 18th ACM Conference on Recommender Systems, RecSys 2024 ; Conference date: 14-10-2024 Through 18-10-2024",
year = "2024",
month = oct,
day = "8",
doi = "10.1145/3640457.3687096",
language = "American English",
series = "RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems",
pages = "1227--1228",
booktitle = "RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems",
}