Report on RecSys 2016 Workshop on New Trends in Content-Based Recommender Systems

Toine Bogers; Marijn Koolen; Cataldo Musto; Pasquale Lops; Giovanni Semeraro

doi:10.1145/3130332.3130341

Report on RecSys 2016 Workshop on New Trends in Content-Based Recommender Systems

Toine Bogers, Marijn Koolen, Cataldo Musto, Pasquale Lops, Giovanni Semeraro

Publikation: Artikel i tidsskrift og konference artikel i tidsskrift › Tidsskriftartikel › Forskning › peer review

Abstract

This article reports on the CBRecSys 2016 workshop, the third edition of the workshop on New Trends in Content-based Recommender Systems, co-located with RecSys 2016 in Boston, MA. Content-based recommendation has been applied successfully in many different domains, but it has not seen the same level of attention as collaborative filtering techniques have. Nevertheless, there are many recommendation domains and applications where content and metadata play a key role, either in addition to or instead of ratings and implicit usage data. The CBRecSys workshop series provides a dedicated venue for work dedicated to all aspects of content-based recommender systems.

Originalsprog	Engelsk
Tidsskrift	SIGIR Forum
Vol/bind	51
Udgave nummer	1
Sider (fra-til)	45-51
ISSN	0163-5840
DOI	https://doi.org/10.1145/3130332.3130341
Status	Udgivet - 1 jun. 2017
Udgivet eksternt	Ja
Begivenhed	RecSys 2016: 10th ACM Conference on Recommender Systems - Boston, MA, USA Varighed: 15 sep. 2016 → 19 sep. 2016 https://recsys.acm.org/recsys16/

Konference

Konference	RecSys 2016
Land/Område	USA
By	Boston, MA
Periode	15/09/2016 → 19/09/2016
Internetadresse	https://recsys.acm.org/recsys16/

Emneord

Content-based Recommender Systems
CBRecSys 2016
Recommendation Domains
Metadata Integration
Content and Metadata

Adgang til dokumentet

10.1145/3130332.3130341

Open access articleForlagets udgivne version, 101 KB

http://sigir.org/wp-content/uploads/2017/06/p045.pdf

Citationsformater

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abstract = "This article reports on the CBRecSys 2016 workshop, the third edition of the workshop on New Trends in Content-based Recommender Systems, co-located with RecSys 2016 in Boston, MA. Content-based recommendation has been applied successfully in many different domains, but it has not seen the same level of attention as collaborative filtering techniques have. Nevertheless, there are many recommendation domains and applications where content and metadata play a key role, either in addition to or instead of ratings and implicit usage data. The CBRecSys workshop series provides a dedicated venue for work dedicated to all aspects of content-based recommender systems.",

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author = "Toine Bogers and Marijn Koolen and Cataldo Musto and Pasquale Lops and Giovanni Semeraro",

year = "2017",

month = jun,

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doi = "10.1145/3130332.3130341",

language = "English",

volume = "51",

pages = "45--51",

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note = "RecSys 2016 : 10th ACM Conference on Recommender Systems, RecSys 2016 ; Conference date: 15-09-2016 Through 19-09-2016",

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AU - Bogers, Toine

AU - Koolen, Marijn

AU - Musto, Cataldo

AU - Lops, Pasquale

AU - Semeraro, Giovanni

PY - 2017/6/1

Y1 - 2017/6/1

N2 - This article reports on the CBRecSys 2016 workshop, the third edition of the workshop on New Trends in Content-based Recommender Systems, co-located with RecSys 2016 in Boston, MA. Content-based recommendation has been applied successfully in many different domains, but it has not seen the same level of attention as collaborative filtering techniques have. Nevertheless, there are many recommendation domains and applications where content and metadata play a key role, either in addition to or instead of ratings and implicit usage data. The CBRecSys workshop series provides a dedicated venue for work dedicated to all aspects of content-based recommender systems.

AB - This article reports on the CBRecSys 2016 workshop, the third edition of the workshop on New Trends in Content-based Recommender Systems, co-located with RecSys 2016 in Boston, MA. Content-based recommendation has been applied successfully in many different domains, but it has not seen the same level of attention as collaborative filtering techniques have. Nevertheless, there are many recommendation domains and applications where content and metadata play a key role, either in addition to or instead of ratings and implicit usage data. The CBRecSys workshop series provides a dedicated venue for work dedicated to all aspects of content-based recommender systems.

KW - Content-based Recommender Systems

KW - CBRecSys 2016

KW - Recommendation Domains

KW - Metadata Integration

KW - Content and Metadata

KW - Content-based Recommender Systems

KW - CBRecSys 2016

KW - Recommendation Domains

KW - Metadata Integration

KW - Content and Metadata

U2 - 10.1145/3130332.3130341

DO - 10.1145/3130332.3130341

M3 - Journal article

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VL - 51

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JO - SIGIR Forum

JF - SIGIR Forum

IS - 1

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Y2 - 15 September 2016 through 19 September 2016

ER -

Report on RecSys 2016 Workshop on New Trends in Content-Based Recommender Systems

Abstract

Konference

Emneord

Adgang til dokumentet

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Citationsformater