=Paper=
{{Paper
|id=None
|storemode=property
|title=None
|pdfUrl=https://ceur-ws.org/Vol-889/paper0.pdf
|volume=Vol-889
}}
==None==
https://ceur-ws.org/Vol-889/paper0.pdf
4th Workshop on Context-Aware Recommender Systems
(CARS 2012)
Gediminas Adomavicius Linas Baltrunas Ernesto William de Luca
University of Minnesota, USA Telefonica Research, Spain University of Applied Sciences Potsdam,
gedas@umn.edu linas@tid.es Germany
deluca@fh-potsdam.de
Tim Hussein Alexander Tuzhilin
University of Duisburg-Essen, Germany New York University, USA
tim.hussein@uni-due.de atuzhili@stern.nyu.edu
ABSTRACT and innovation in the area of context-aware recommender systems
CARS 2012 builds upon the success of the three previous editions (CARS). In particular, the workshop covers the following topics:
held in conjunction with the 3rd to 5th ACM Conferences on • Context modeling techniques for recommender systems;
Recommender Systems from 2009 to 2011. The 1st CARS Work-
shop was held in New York, NY, USA, whereas Barcelona, • Context-aware user modeling for recommender sys-
Spain, was home of the 2nd CARS Workshop in 2010. In 2011, tems;
the 3rd CARS workshop was held in Chicago, IL, USA.
• Data sets for context-dependent recommendations;
Categories and Subject Descriptors • Algorithms for detecting the relevance of contextual da-
H.3.3 [Information Storage and Retrieval]: Information Search ta;
and Retrieval – information filtering, relevance feedback, retriev-
al models, search process, selection process. • Algorithms for incorporating contextual information in-
to recommendation process;
General Terms
Algorithms, Design, Experimentation, Human Factors, • Algorithms for building explicit dependencies between
Measumerment, Performance. contextual features and ratings;
• Interacting with context-aware recommender systems;
Keywords
Recommender systems, context-aware systems, contextual infor- • Novel applications for context-aware recommender sys-
mation, context modeling. tems;
• Mobile context-aware recommender systems;
1. WORKSHOP GOALS
The importance of contextual information has been recognized by • Context-aware group recommendations;
researchers and practitioners in many disciplines, including e-
• Large-scale context-aware recommender systems;
commerce personalization, information retrieval, ubiquitous and
mobile computing, data mining, marketing, and management. • Evaluation of context-aware recommender systems.
While a substantial amount of research has already been per-
formed in the area of recommender systems, the vast majority of Additional information about the workshop and its program can
existing approaches focuses on recommending the most relevant be found on the workshop website.1
items to users and does not take into account any additional con-
textual information, such as time, location, weather, or the com-
2. WORKSHOP FORMAT
pany of other people. Therefore, this workshop aims to bring CARS will be organized as a full day event, in which authors of
together researchers with wide-ranging backgrounds to identify selected papers will present their work to the workshop audience.
important research questions, to exchange ideas from different Depending on the number of participants, interactive elements
research disciplines, and, more generally, to facilitate discussion such as plenary discussions are planned.
Copyright is held by the author/owner(s).
RecSys’12, September 9–13, 2012, Dublin, Ireland.
1
http://cars-workshop.org