CARS: Workshop on Context-Aware Recommender Systems 2023

Gediminas Adomavicius; Konstantin Bauman; Bamshad Mobasher; Alexander Tuzhilin; Moshe Unger

doi:10.1145/3604915.3608752

CARS: Workshop on Context-Aware Recommender Systems 2023

Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Alexander Tuzhilin, Moshe Unger

Coller School of Management

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

Abstract

Contextual information has been widely recognized as an important modeling dimension in social sciences and in computing. In particular, the role of context has been recognized in enhancing recommendation results and retrieval performance. While a substantial amount of existing research has focused on context-aware recommender systems (CARS), many interesting problems remain under-explored. The CARS 2023 workshop provides a venue for presenting and discussing: the important features of the next generation of CARS; and application domains that may require the use of novel types of contextual information and cope with their dynamic properties in group recommendations and in online environments.

Original language	English
Title of host publication	Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023
Publisher	Association for Computing Machinery, Inc
Pages	1234-1236
Number of pages	3
ISBN (Electronic)	9798400702419
DOIs	https://doi.org/10.1145/3604915.3608752
State	Published - 14 Sep 2023
Event	17th ACM Conference on Recommender Systems, RecSys 2023 - Singapore, Singapore Duration: 18 Sep 2023 → 22 Sep 2023

Publication series

Name	Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023

Conference

Conference	17th ACM Conference on Recommender Systems, RecSys 2023
Country/Territory	Singapore
City	Singapore
Period	18/09/23 → 22/09/23

Keywords

Context
Context-Aware Recommendation
Contextual Modeling
Sequence-Aware Recommendation

Access to Document

10.1145/3604915.3608752

Cite this

Adomavicius, G., Bauman, K., Mobasher, B., Tuzhilin, A., & Unger, M. (2023). CARS: Workshop on Context-Aware Recommender Systems 2023. In Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023 (pp. 1234-1236). (Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023). Association for Computing Machinery, Inc. https://doi.org/10.1145/3604915.3608752

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abstract = "Contextual information has been widely recognized as an important modeling dimension in social sciences and in computing. In particular, the role of context has been recognized in enhancing recommendation results and retrieval performance. While a substantial amount of existing research has focused on context-aware recommender systems (CARS), many interesting problems remain under-explored. The CARS 2023 workshop provides a venue for presenting and discussing: the important features of the next generation of CARS; and application domains that may require the use of novel types of contextual information and cope with their dynamic properties in group recommendations and in online environments.",

keywords = "Context, Context-Aware Recommendation, Contextual Modeling, Sequence-Aware Recommendation",

author = "Gediminas Adomavicius and Konstantin Bauman and Bamshad Mobasher and Alexander Tuzhilin and Moshe Unger",

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series = "Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023",

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Adomavicius, G, Bauman, K, Mobasher, B, Tuzhilin, A & Unger, M 2023, CARS: Workshop on Context-Aware Recommender Systems 2023. in Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023. Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023, Association for Computing Machinery, Inc, pp. 1234-1236, 17th ACM Conference on Recommender Systems, RecSys 2023, Singapore, Singapore, 18/09/23. https://doi.org/10.1145/3604915.3608752

CARS: Workshop on Context-Aware Recommender Systems 2023. / Adomavicius, Gediminas; Bauman, Konstantin; Mobasher, Bamshad et al.
Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023. Association for Computing Machinery, Inc, 2023. p. 1234-1236 (Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023).

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

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CARS: Workshop on Context-Aware Recommender Systems 2023

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Keywords

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