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)

Research output: Book/ReportAnthologyResearchpeer-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 languageEnglish
PublisherCEUR Workshop Proceedings
Number of pages50
Publication statusPublished - 1 Sep 2016
EventRecSys 2016: 10th ACM Conference on Recommender Systems - Boston, MA, United States
Duration: 15 Sep 201619 Sep 2016
https://recsys.acm.org/recsys16/
SeriesCEUR Workshop Proceedings
Volume1673
ISSN1613-0073

Conference

ConferenceRecSys 2016
CountryUnited States
CityBoston, MA
Period15/09/201619/09/2016
Internet address

Fingerprint

Collaborative filtering
Recommender systems
Metadata
Websites

Keywords

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

Cite this

Bogers, Toine (Editor) ; Lops, Pasquale (Editor) ; Koolen, Marijn (Editor) ; Musto, Cataldo (Editor) ; Semeraro, Giovanni (Editor). / 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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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.",
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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); Musto, Cataldo (Editor); Semeraro, Giovanni (Editor).

CEUR Workshop Proceedings, 2016. 50 p. (CEUR Workshop Proceedings, Vol. 1673).

Research output: Book/ReportAnthologyResearchpeer-review

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