CBRecSys 2016. New Trends on Content-Based Recommender Systems: Proceedings of the 3rd Workshop on New Trends on Content-Based Recommender Systems co-located with 10th ACM Conference on Recommender Systems (RecSys 2016)

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

CBRecSys 2016. New Trends on Content-Based Recommender Systems: Proceedings of the 3rd Workshop on New Trends on Content-Based Recommender Systems co-located with 10th ACM Conference on Recommender Systems (RecSys 2016)

Toine Bogers (Editor), Pasquale Lops (Editor), Marijn Koolen (Editor), Cataldo Musto (Editor), Giovanni Semeraro (Editor)

Department of Communication and Psychology

Research output: Book/Report › Anthology › Research › peer-review

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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.

Original language	English

Publisher	CEUR Workshop Proceedings
Number of pages	50
Publication status	Published - 1 Sept 2016
Event	RecSys 2016: 10th ACM Conference on Recommender Systems - Boston, MA, United States Duration: 15 Sept 2016 → 19 Sept 2016 https://recsys.acm.org/recsys16/

Series	CEUR Workshop Proceedings
Volume	1673
ISSN	1613-0073

Conference

Conference	RecSys 2016
Country/Territory	United States
City	Boston, MA
Period	15/09/2016 → 19/09/2016
Internet address	https://recsys.acm.org/recsys16/

Keywords

recommender systems
content-based recommendation
text reviews
user-generated content
implicit feedback
semantics
context

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CBRecSys2016_proceedingsFinal published version, 6.54 MBLicence: Unspecified

http://ceur-ws.org/Vol-1673/Licence: Unspecified

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1 Conference organisation or participation
1 Organisation or participation in workshops, courses, seminars, exhibitions or similar

CBRecSys 2016
Toine Bogers (Organizer)
16 Sept 2016
Activity: Attending an event › Organisation or participation in workshops, courses, seminars, exhibitions or similar
RecSys 2016
Toine Bogers (Participant)
15 Sept 2016 → 19 Sept 2016
Activity: Attending an event › Conference organisation or participation

Cite this

Bogers, T., Lops, P., Koolen, M., Musto, C., & Semeraro, G. (Eds.) (2016). CBRecSys 2016. New Trends on Content-Based Recommender Systems: Proceedings of the 3rd Workshop on New Trends on Content-Based Recommender Systems co-located with 10th ACM Conference on Recommender Systems (RecSys 2016). CEUR Workshop Proceedings. CEUR Workshop Proceedings Vol. 1673 http://ceur-ws.org/Vol-1673/

Bogers, Toine (Editor) ; Lops, Pasquale (Editor) ; Koolen, Marijn (Editor) et al. / CBRecSys 2016. New Trends on Content-Based Recommender Systems : Proceedings of the 3rd Workshop on New Trends on Content-Based Recommender Systems co-located with 10th ACM Conference on Recommender Systems (RecSys 2016). CEUR Workshop Proceedings, 2016. 50 p. (CEUR Workshop Proceedings, Vol. 1673).

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title = "CBRecSys 2016. New Trends on Content-Based Recommender Systems: Proceedings of the 3rd Workshop on New Trends on Content-Based Recommender Systems co-located with 10th ACM Conference on Recommender Systems (RecSys 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 = "recommender systems, content-based recommendation, text reviews, user-generated content, implicit feedback, semantics, context",

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

year = "2016",

month = sep,

day = "1",

language = "English",

series = "CEUR Workshop Proceedings",

publisher = "CEUR Workshop Proceedings",

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/",

}

Bogers, T, Lops, P, Koolen, M, Musto, C & Semeraro, G (eds) 2016, CBRecSys 2016. New Trends on Content-Based Recommender Systems: Proceedings of the 3rd Workshop on New Trends on Content-Based Recommender Systems co-located with 10th ACM Conference on Recommender Systems (RecSys 2016). CEUR Workshop Proceedings, vol. 1673, CEUR Workshop Proceedings. <http://ceur-ws.org/Vol-1673/>

CBRecSys 2016. New Trends on Content-Based Recommender Systems: Proceedings of the 3rd Workshop on New Trends on Content-Based Recommender Systems co-located with 10th ACM Conference on Recommender Systems (RecSys 2016). / Bogers, Toine (Editor); Lops, Pasquale (Editor); Koolen, Marijn (Editor) et al.
CEUR Workshop Proceedings, 2016. 50 p. (CEUR Workshop Proceedings, Vol. 1673).

Research output: Book/Report › Anthology › Research › peer-review

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T2 - RecSys 2016

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A2 - Lops, Pasquale

A2 - Koolen, Marijn

A2 - Musto, Cataldo

A2 - Semeraro, Giovanni

PY - 2016/9/1

Y1 - 2016/9/1

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 - recommender systems

KW - content-based recommendation

KW - text reviews

KW - user-generated content

KW - implicit feedback

KW - semantics

KW - context

M3 - Anthology

T3 - CEUR Workshop Proceedings

BT - CBRecSys 2016. New Trends on Content-Based Recommender Systems

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Y2 - 15 September 2016 through 19 September 2016

ER -

Bogers T, (ed.), Lops P, (ed.), Koolen M, (ed.), Musto C, (ed.), Semeraro G, (ed.). CBRecSys 2016. New Trends on Content-Based Recommender Systems: Proceedings of the 3rd Workshop on New Trends on Content-Based Recommender Systems co-located with 10th ACM Conference on Recommender Systems (RecSys 2016). CEUR Workshop Proceedings, 2016. 50 p. (CEUR Workshop Proceedings, Vol. 1673).

CBRecSys 2016. New Trends on Content-Based Recommender Systems: Proceedings of the 3rd Workshop on New Trends on Content-Based Recommender Systems co-located with 10th ACM Conference on Recommender Systems (RecSys 2016)

Abstract

Conference

Keywords

Access to Document

AUB Link

Fingerprint

Activities

CBRecSys 2016

RecSys 2016

Cite this