Third Workshop on New Trends in Content-based Recommender Systems (CBRecSys 2016)

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

doi:10.1145/2959100.2959200

Third Workshop on New Trends in Content-based Recommender Systems (CBRecSys 2016)

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

Institut for Kommunikation og Psykologi

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Formidling

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Abstract

While content-based recommendation has been applied successfully in many different domains, it has not seen the same level of attention as collaborative filtering techniques have. However, 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. For some domains, such as movies, the relationship between content and usage data has seen thorough investigation already, but for many other domains, such as books, news, scientific articles, and Web pages we still do not know if and how these data sources should be combined to provided the best recommendation performance. The CBRecSys 2016 workshop provides a dedicated venue for papers dedicated to all aspects of content-based recommendation.

Originalsprog	Engelsk
Titel	RecSys ‘16: Proceedings of the 2015 ACM Conference on Recommender Systems
Antal sider	2
Forlag	Association for Computing Machinery (ACM)
Publikationsdato	15 sep. 2016
Sider	419-420
ISBN (Elektronisk)	978-1-4503-4035-9
DOI	https://doi.org/10.1145/2959100.2959200
Status	Udgivet - 15 sep. 2016
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/

Adgang til dokumentet

10.1145/2959100.2959200Licens: Ikke-specificeret

cbrecsys-2016-workshopForlagets udgivne version, 138 KBLicens: Ikke-specificeret

http://dl.acm.org/citation.cfm?id=2959200Licens: Ikke-specificeret

AUB Link

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1 Organisering af eller deltagelse i konference
1 Organisering af eller deltagelse i workshop, kursus, seminar, udstilling eller lignende

CBRecSys 2016
Bogers, T. (Arrangør)
16 sep. 2016
Aktivitet: Deltagelse i faglig begivenhed › Organisering af eller deltagelse i workshop, kursus, seminar, udstilling eller lignende
RecSys 2016
Bogers, T. (Deltager)
15 sep. 2016 → 19 sep. 2016
Aktivitet: Deltagelse i faglig begivenhed › Organisering af eller deltagelse i konference

Citationsformater

@inproceedings{944889245b3549dfb83c0b021a392c9e,

title = "Third Workshop on New Trends in Content-based Recommender Systems (CBRecSys 2016)",

abstract = "While content-based recommendation has been applied successfully in many different domains, it has not seen the same level of attention as collaborative filtering techniques have. However, 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. For some domains, such as movies, the relationship between content and usage data has seen thorough investigation already, but for many other domains, such as books, news, scientific articles, and Web pages we still do not know if and how these data sources should be combined to provided the best recommendation performance. The CBRecSys 2016 workshop provides a dedicated venue for papers dedicated to all aspects of content-based recommendation.",

keywords = "content-based recommendation, recommender systems",

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

year = "2016",

month = sep,

day = "15",

doi = "10.1145/2959100.2959200",

language = "English",

pages = "419--420",

booktitle = "RecSys {\textquoteleft}16: Proceedings of the 2015 ACM Conference on Recommender Systems",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

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

url = "https://recsys.acm.org/recsys16/",

}

Third Workshop on New Trends in Content-based Recommender Systems (CBRecSys 2016). / Bogers, Toine; Koolen, Marijn; Musto, Cataldo et al.
RecSys ‘16: Proceedings of the 2015 ACM Conference on Recommender Systems. Association for Computing Machinery (ACM), 2016. s. 419-420.

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Formidling

TY - GEN

T1 - Third Workshop on New Trends in Content-based Recommender Systems (CBRecSys 2016)

AU - Bogers, Toine

AU - Koolen, Marijn

AU - Musto, Cataldo

AU - Lops, Pasquale

AU - Semeraro, Giovanni

PY - 2016/9/15

Y1 - 2016/9/15

N2 - While content-based recommendation has been applied successfully in many different domains, it has not seen the same level of attention as collaborative filtering techniques have. However, 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. For some domains, such as movies, the relationship between content and usage data has seen thorough investigation already, but for many other domains, such as books, news, scientific articles, and Web pages we still do not know if and how these data sources should be combined to provided the best recommendation performance. The CBRecSys 2016 workshop provides a dedicated venue for papers dedicated to all aspects of content-based recommendation.

AB - While content-based recommendation has been applied successfully in many different domains, it has not seen the same level of attention as collaborative filtering techniques have. However, 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. For some domains, such as movies, the relationship between content and usage data has seen thorough investigation already, but for many other domains, such as books, news, scientific articles, and Web pages we still do not know if and how these data sources should be combined to provided the best recommendation performance. The CBRecSys 2016 workshop provides a dedicated venue for papers dedicated to all aspects of content-based recommendation.

KW - content-based recommendation

KW - recommender systems

U2 - 10.1145/2959100.2959200

DO - 10.1145/2959100.2959200

M3 - Article in proceeding

SP - 419

EP - 420

BT - RecSys ‘16: Proceedings of the 2015 ACM Conference on Recommender Systems

PB - Association for Computing Machinery (ACM)

T2 - RecSys 2016

Y2 - 15 September 2016 through 19 September 2016

ER -

Third Workshop on New Trends in Content-based Recommender Systems (CBRecSys 2016)

Abstract

Konference

Adgang til dokumentet

AUB Link

Fingeraftryk

Aktiviteter

CBRecSys 2016

RecSys 2016

Citationsformater