RecTemp: Temporal Reasoning in Recommendation Systems

Adir Solomon; Tsvi Kuflik; Ido Guy; Bracha Shapira

doi:10.1145/3640457.3687096

RecTemp: Temporal Reasoning in Recommendation Systems

Adir Solomon, Tsvi Kuflik, Ido Guy, Bracha Shapira

Department of Software and Information Systems Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
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	https://doi.org/10.1145/3640457.3687096
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

Conference

Conference	18th ACM Conference on Recommender Systems, RecSys 2024
Country/Territory	Italy
City	Bari
Period	14/10/24 → 18/10/24

Keywords

Recommender Systems
Sequential Models
Temporal Aspects

ASJC Scopus subject areas

Computer Science Applications
Information Systems
Software
Control and Systems Engineering

Access to Document

10.1145/3640457.3687096

Cite this

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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 = "English",

series = "RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems",

publisher = "Association for Computing Machinery, Inc",

pages = "1227--1228",

booktitle = "RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems",

}

Solomon, A, Kuflik, T, Guy, I & Shapira, B 2024, RecTemp: Temporal Reasoning in Recommendation Systems. in RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems. RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems, Association for Computing Machinery, Inc, pp. 1227-1228, 18th ACM Conference on Recommender Systems, RecSys 2024, Bari, Italy, 14/10/24. https://doi.org/10.1145/3640457.3687096

RecTemp: Temporal Reasoning in Recommendation Systems. / Solomon, Adir; Kuflik, Tsvi; Guy, Ido et al.
RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc, 2024. p. 1227-1228 (RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - RecTemp

T2 - 18th ACM Conference on Recommender Systems, RecSys 2024

AU - Solomon, Adir

AU - Kuflik, Tsvi

AU - Guy, Ido

AU - Shapira, Bracha

PY - 2024/10/8

Y1 - 2024/10/8

N2 - 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.

AB - 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.

KW - Recommender Systems

KW - Sequential Models

KW - Temporal Aspects

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U2 - 10.1145/3640457.3687096

DO - 10.1145/3640457.3687096

M3 - Conference contribution

AN - SCOPUS:85210484258

T3 - RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems

SP - 1227

EP - 1228

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

PB - Association for Computing Machinery, Inc

Y2 - 14 October 2024 through 18 October 2024

ER -

RecTemp: Temporal Reasoning in Recommendation Systems

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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