Workshop on context-aware recommender systems

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

doi:10.1145/3298689.3346954

Workshop on context-aware recommender systems

Gediminas Adomavicius, Francesco Ricci, Konstantin Bauman, Alexander Tuzhilin, Bamshad Mobasher, 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 context-aware recommender systems (CARS), many interesting problems remain under-explored. The CARS 2019 workshop provides a venue for presenting and discussing approaches for next generation of CARS and application domains that may require a variety of dimensions of contexts and cope with its dynamic properties.

Original language	English
Title of host publication	RecSys 2019 - 13th ACM Conference on Recommender Systems
Publisher	Association for Computing Machinery, Inc
Pages	548-549
Number of pages	2
ISBN (Electronic)	9781450362436
DOIs	https://doi.org/10.1145/3298689.3346954
State	Published - 10 Sep 2019
Externally published	Yes
Event	13th ACM Conference on Recommender Systems, RecSys 2019 - Copenhagen, Denmark Duration: 16 Sep 2019 → 20 Sep 2019

Publication series

Name	RecSys 2019 - 13th ACM Conference on Recommender Systems

Conference

Conference	13th ACM Conference on Recommender Systems, RecSys 2019
Country/Territory	Denmark
City	Copenhagen
Period	16/09/19 → 20/09/19

Keywords

Context
Context-aware recommendation
Sequence-aware recommendation

Access to Document

10.1145/3298689.3346954

Cite this

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title = "Workshop on context-aware recommender systems",

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 context-aware recommender systems (CARS), many interesting problems remain under-explored. The CARS 2019 workshop provides a venue for presenting and discussing approaches for next generation of CARS and application domains that may require a variety of dimensions of contexts and cope with its dynamic properties.",

keywords = "Context, Context-aware recommendation, Sequence-aware recommendation",

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

note = "Publisher Copyright: {\textcopyright} 2019 Association for Computing Machinery.; 13th ACM Conference on Recommender Systems, RecSys 2019 ; Conference date: 16-09-2019 Through 20-09-2019",

year = "2019",

month = sep,

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doi = "10.1145/3298689.3346954",

language = "אנגלית",

series = "RecSys 2019 - 13th ACM Conference on Recommender Systems",

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Adomavicius, G, Ricci, F, Bauman, K, Tuzhilin, A, Mobasher, B & Unger, M 2019, Workshop on context-aware recommender systems. in RecSys 2019 - 13th ACM Conference on Recommender Systems. RecSys 2019 - 13th ACM Conference on Recommender Systems, Association for Computing Machinery, Inc, pp. 548-549, 13th ACM Conference on Recommender Systems, RecSys 2019, Copenhagen, Denmark, 16/09/19. https://doi.org/10.1145/3298689.3346954

Workshop on context-aware recommender systems. / Adomavicius, Gediminas; Ricci, Francesco; Bauman, Konstantin et al.
RecSys 2019 - 13th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc, 2019. p. 548-549 (RecSys 2019 - 13th ACM Conference on Recommender Systems).

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

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T1 - Workshop on context-aware recommender systems

AU - Adomavicius, Gediminas

AU - Ricci, Francesco

AU - Bauman, Konstantin

AU - Tuzhilin, Alexander

AU - Mobasher, Bamshad

AU - Unger, Moshe

PY - 2019/9/10

Y1 - 2019/9/10

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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 context-aware recommender systems (CARS), many interesting problems remain under-explored. The CARS 2019 workshop provides a venue for presenting and discussing approaches for next generation of CARS and application domains that may require a variety of dimensions of contexts and cope with its dynamic properties.

KW - Context

KW - Context-aware recommendation

KW - Sequence-aware recommendation

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PB - Association for Computing Machinery, Inc

T2 - 13th ACM Conference on Recommender Systems, RecSys 2019

Y2 - 16 September 2019 through 20 September 2019

ER -

Workshop on context-aware recommender systems

Abstract

Publication series

Conference

Keywords

Access to Document

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