posted by user: grupocole || 7232 views || tracked by 6 users: [display]

CBRecSys 2016 : RecSys'16 3rd Workshop on New Trends in Content-Based Recommender Systems

FacebookTwitterLinkedInGoogle

Link: http://cbrecsys2016.aau.dk
 
When Sep 15, 2016 - Sep 19, 2016
Where Boston, MA, USA
Submission Deadline Jun 24, 2016
Notification Due Jul 15, 2016
Final Version Due Jul 22, 2016
Categories    information retrieval
 

Call For Papers



===========================================================

CALL FOR PAPERS

RecSys'16 3rd Workshop on New Trends in Content-Based Recommender Systems (CBRecSys 2016)

http://cbrecsys2016.aau.dk

Boston, MA

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


-----------
Submissions
-----------

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).


---------------
Important dates
---------------

* 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


----------
Organizers
----------

* Toine Bogers (toine@hum.aau.dk) Aalborg University Copenhagen, Denmark
* Marijn Koolen (mkoolen@beeldengeluid.nl)
Netherlands Institute of Sound and Vision, the Netherlands
* Cataldo Musto (cataldo.musto@uniba.it) University of Bari “Aldo Moro”, Italy
* Pasquale Lops (pasquale.lops@uniba.it) University of Bari “Aldo Moro”, Italy
* Giovanni Semeraro (giovanni.semeraro@uniba.it) University of Bari “Aldo Moro”, Italy


For further questions, please contact a member of the organizing committee.

Related Resources

SIGIR 2017   The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
CBMI 2017   15th International Workshop on Content-Based Multimedia Indexing
CIKM 2017   The 26th 2017 ACM Conference on Information and Knowledge Management
MLDM 2017   Machine Learning and Data Mining in Pattern Recognition
ICMR 2017   ACM International Conference on Multimedia Retrieval
EMoNT 2017   7th International Conference ECONOMICS AND MANAGEMENT-BASED ON NEW TECHNOLOGIES
NLDB 2017   22nd International Conference on Natural Language & Information Systems
AIR 2017   Advances in Robotics: 3rd International Conference of Robotics Society of India
CMCE 2016   2nd International Workshop on Case Method for Computing Education
RecSys 2017   RecSys 2017 : 11th ACM Conference on Recommender Systems