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CALL FOR PAPERS
RecSys'15 2nd Workshop on New Trends in Content-Based Recommender Systems (CBRecSys 2015)
http://humanities.uva.nl/~mkoolen1/CBRecSys15/
Vienna, Austria
September 16-20, 2015
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Description & Objectives
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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. In recent years, competitions like the Netflix Prize, CAMRA, and the Yahoo! Music KDD Cup 2011 have spurred on advances in collaborative filtering and how to utilize ratings and usage data. However, there are many domains 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 do not know if and how these data sources should be combined to provided the best recommendation performance.
The CBRecSys 2015 workshop aims to address this by providing a dedicated venue for papers dedicated to all aspects of content-based recommendation. This would include both recommendation in domains where textual content is abundant (e.g., books, news, scientific articles, jobs, educational resources, Web pages, etc.) as well as dedicated comparisons of content-based techniques with collaborative filtering in different domains. Other relevant topics related to content-based recommendations could include opinion mining for text/book recommendation, semantic recommendation, content-based recommendation to alleviate cold-start problems, as well as serendipity, diversity and cross-domain recommendation.
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Topics of interest
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We invite original contributions in a variety of areas related to content-based recommendation. Topics of interest include, but are not limited to, the following:
* Processing text reviews
- Estimating (implicit) ratings associated with text reviews
- Opinion mining and sentiment analysis of text reviews to support content-based recommendation
- Extracting user personality traits and factors from text reviews for recommendation
* Exploiting user generated contents
- Social tag-based recommender systems
- Mining microblogging data in content-based recommender systems
- Exploiting Semantic Web and Linked Open Data in content-based recommender systems
* Mining contextual data from content
- Extraction of contextual signals from text contents for recommendation
- Considering the time dimension in content-based recommendation
- Mood- and sentiment-based recommender systems
* Addressing limitations of recommender system
- Addressing the cold-start problem with content-based recommendation approaches
- Increasing diversity in content-based recommendations
- Providing novelty in content-based recommendations
* Developing novel recommendation approaches
- Hybrid strategies combining content-based and collaborative filtering recommendations
- Content-based approaches to cross-system and cross-domain recommendation
- Latent factor models for content-based and hybrid recommendation
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Submissions
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We encourage authors to submit contributions dedicated to any aspect of content-based recommendation, from diverse backgrounds and aim to promote the exchange of ideas between researchers working in the various related to content-based recommendation.
Authors may submit fully-developed ideas and approaches as long papers (8 pages) and preliminary work as short papers (4 pages). For full details on the submission format and procedure, see below. Papers will be selected based on originality, quality, and ability to promote discussion. Accepted papers will be included in the workshop proceedings and published by CEUR. Extended versions of selected workshop papers may be included in a special journal issue (TBD). At least one author of each accepted paper must attend the workshop.
All submissions should be in English and should not have been published or submitted for publication elsewhere. Papers should be formatted in the ACM Proceedings Style (http://www.acm.org/sigs/publications/proceedings-templates) and submitted via EasyChair (https://easychair.org/conferences/?conf=cbrecsys2015).
Submissions will be published in the workshop proceedings (CEUR-WS).
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Important dates
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* Paper submission deadline: June 21 2015
* Notification of acceptance: July 20 2015
* Camera ready deadline: July 27 2015
* RecSys and CBRecSys 2015 Workshop: September 16-20 2015
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Program Committee (TBC)
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* Robin Burke, DePaul University, USA
* Iván Cantador, Universidad Autónoma de Madrid, Spain
* Federica Cena, Universita' degli Studi di Torino, Italy
* Paolo Cremonesi, Politecnico de Milano, Italy
* Ernesto William De Luca, Potsdam University of Applied Sciences, Germany
* Tommaso Di Noia, Politecnico di Bari, Italy
* Peter Dolog, Aalborg University, Denmark
* Soude Fazeli, Open University, The Netherlands
* Cristina Gena, Universita' degli Studi di Torino, Italy
* Juan F. Huete, Universidad de Granada, Spain
* Jaap Kamps, University of Amsterdam, The Netherlands
* Birger Larsen, Aalborg University Copenhagen, Denmark
* Babak Loni, Delft University of Technology, The Netherlands
* Pasquale Lops, University of Bari "Aldo Moro”, Italy
* Cataldo Musto, University of Bari "Aldo Moro”, Italy
* Casper Petersen, University of Copenhagen, Denmark
* Shaghayegh Sahebi, University of Pittsburgh, USA
* Alan Said, Recorded Future, Sweden
* Giovanni Semeraro, University of Bari "Aldo Moro”, Italy
* Nafiseh Shahib, Norwegian University of Science and Technology, Norway
* Marko Tkalčič, Johannes Kepler University, Austria
* Bei Yu, Syracuse University, USA
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Organizers
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* Toine Bogers ([log in to unmask]), Aalborg University Copenhagen, Denmark
* Marijn Koolen ([log in to unmask]), University of Amsterdam, the Netherlands
For further questions please contact a member of the organizing committee.
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