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

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Communication

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
Title of host publication	RecSys ‘16: Proceedings of the 2015 ACM Conference on Recommender Systems
Number of pages	2
Publisher	Association for Computing Machinery
Publication date	15 Sept 2016
Pages	419-420
ISBN (Electronic)	978-1-4503-4035-9
DOIs	https://doi.org/10.1145/2959100.2959200
Publication status	Published - 15 Sept 2016
Externally published	Yes
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/

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

Content-Based Recommendation
Collaborative Filtering
Recommendation Systems
Metadata Integration
Domain-Specific Recommendations

Access to Document

10.1145/2959100.2959200Licence: Unspecified

cbrecsys-2016-workshopFinal published version, 138 KBLicence: Unspecified

http://dl.acm.org/citation.cfm?id=2959200Licence: Unspecified

Cite this

@inproceedings{08fd4123a08942d19cb3ffe7793e62e2,

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, Collaborative Filtering, Recommendation Systems, Metadata Integration, Domain-Specific Recommendations, Content-Based Recommendation, Collaborative Filtering, Recommendation Systems, Metadata Integration, Domain-Specific Recommendations",

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",

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, 2016. p. 419-420.

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Communication

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 - Collaborative Filtering

KW - Recommendation Systems

KW - Metadata Integration

KW - Domain-Specific Recommendations

KW - Content-Based Recommendation

KW - Collaborative Filtering

KW - Recommendation Systems

KW - Metadata Integration

KW - Domain-Specific Recommendations

U2 - 10.1145/2959100.2959200

DO - 10.1145/2959100.2959200

M3 - Article in proceedings

SP - 419

EP - 420

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

PB - Association for Computing Machinery

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

Conference

Keywords

Access to Document

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Cite this