Workshop on context-aware recommender systems (CARS) 2021

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

doi:10.1145/3460231.3470939

Workshop on context-aware recommender systems (CARS) 2021

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

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

3 Scopus citations

Abstract

Contextual information has been widely recognized as an important modeling dimension both 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 2021 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	RecSys 2021 - 15th ACM Conference on Recommender Systems
Publisher	Association for Computing Machinery, Inc
Pages	813-814
Number of pages	2
ISBN (Electronic)	9781450384582
DOIs	https://doi.org/10.1145/3460231.3470939
State	Published - 13 Sep 2021
Externally published	Yes
Event	15th ACM Conference on Recommender Systems, RecSys 2021 - Virtual, Online, Netherlands Duration: 27 Sep 2021 → 1 Oct 2021

Publication series

Name	RecSys 2021 - 15th ACM Conference on Recommender Systems

Conference

Conference	15th ACM Conference on Recommender Systems, RecSys 2021
Country/Territory	Netherlands
City	Virtual, Online
Period	27/09/21 → 1/10/21

Keywords

Context
Context-Aware Recommendation
Contextual Modeling
Sequence-Aware Recommendation

Access to Document

10.1145/3460231.3470939

Cite this

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title = "Workshop on context-aware recommender systems (CARS) 2021",

abstract = "Contextual information has been widely recognized as an important modeling dimension both 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 2021 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 Francesco Ricci and Alexander Tuzhilin and Moshe Unger",

note = "Publisher Copyright: {\textcopyright} 2021 Owner/Author.; 15th ACM Conference on Recommender Systems, RecSys 2021 ; Conference date: 27-09-2021 Through 01-10-2021",

year = "2021",

month = sep,

day = "13",

doi = "10.1145/3460231.3470939",

language = "אנגלית",

series = "RecSys 2021 - 15th ACM Conference on Recommender Systems",

publisher = "Association for Computing Machinery, Inc",

pages = "813--814",

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Adomavicius, G, Bauman, K, Mobasher, B, Ricci, F, Tuzhilin, A & Unger, M 2021, Workshop on context-aware recommender systems (CARS) 2021. in RecSys 2021 - 15th ACM Conference on Recommender Systems. RecSys 2021 - 15th ACM Conference on Recommender Systems, Association for Computing Machinery, Inc, pp. 813-814, 15th ACM Conference on Recommender Systems, RecSys 2021, Virtual, Online, Netherlands, 27/09/21. https://doi.org/10.1145/3460231.3470939

Workshop on context-aware recommender systems (CARS) 2021. / Adomavicius, Gediminas; Bauman, Konstantin; Mobasher, Bamshad et al.
RecSys 2021 - 15th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc, 2021. p. 813-814 (RecSys 2021 - 15th ACM Conference on Recommender Systems).

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

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AU - Bauman, Konstantin

AU - Mobasher, Bamshad

AU - Ricci, Francesco

AU - Tuzhilin, Alexander

AU - Unger, Moshe

PY - 2021/9/13

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AB - Contextual information has been widely recognized as an important modeling dimension both 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 2021 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.

KW - Context

KW - Context-Aware Recommendation

KW - Contextual Modeling

KW - Sequence-Aware Recommendation

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Workshop on context-aware recommender systems (CARS) 2021

Abstract

Publication series

Conference

Keywords

Access to Document

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Cite this