CBRecSys 2016 : RecSys'16 3rd Workshop on New Trends in Content-Based Recommender Systems
Call For Papers
CALL FOR PAPERS
RecSys'16 3rd Workshop on New Trends in Content-Based Recommender Systems (CBRecSys 2016)
September 15-19, 2016
Description & Objectives
The CBRecSys 2016 workshop provides a dedicated venue for papers dedicated to all aspects of content-based recommendation. This includes 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, deep learning for content representation, as well as serendipity, diversity and cross-domain recommendation.
Topics of interest
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 and Representing Content
- Estimating (implicit) ratings associated with text reviews
- Opinion mining and sentiment analysis of text reviews to support content-based recommendation
- Multilingual content representation
- Exploiting Deep Learning approaches for content representation
- Exploiting semantic technologies for processing and representing content
- 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
- User Profiling based on Big, Social and Linked Data
* Mining contextual data from content
- Extraction of contextual signals from text contents for recommendation
- Considering the time dimension in content-based recommendation
- Mood-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
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=cbrecsys2016).
Submissions will be published in the workshop proceedings (CEUR-WS).
* Paper submission deadline: June 24, 2016
* Notification of acceptance: July 15, 2016
* Camera-ready deadline: July 22, 2016
* RecSys and CBRecSys 2016 Workshop: September 15-19, 2016
* Toine Bogers (firstname.lastname@example.org) Aalborg University Copenhagen, Denmark
* Marijn Koolen (email@example.com)
Netherlands Institute of Sound and Vision, the Netherlands
* Cataldo Musto (firstname.lastname@example.org) University of Bari “Aldo Moro”, Italy
* Pasquale Lops (email@example.com) University of Bari “Aldo Moro”, Italy
* Giovanni Semeraro (firstname.lastname@example.org) University of Bari “Aldo Moro”, Italy
For further questions, please contact a member of the organizing committee.