WPRS 2012 - 2012 International Workshop on Web Personalization and Recommender Systems (WPRS’12)

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WPRS 2012 - 2012 International Workshop on Web Personalization and Recommender Systems (WPRS’12)

Website www.fst.umac.mo/wic2012 | Edit Freely

Category WPRS 2012

Deadline: July 25, 2012 | Date: December 04, 2012-December 07, 2012

Venue/Country: Macau, Macau

Updated: 2012-06-07 23:15:56 (GMT+9)

Call For Papers - CFP

With the explosive growth of resources available through the Internet, information overload has become a severe concern to users. Web users are commonly overwhelmed by huge volume of information and are faced with the challenge of finding the most relevant and reliable information in a timely manner. Recommender and reputation systems represent tools for efficient selection of the most relevant and reliable information resources, and the interest in such systems has increased dramatically over the last few years, driven by the demand for online personalization applications. Web-based recommender systems are the most notable application of web personalization. Combined with reputation systems, Web users can get recommendations with high reliability and quality. However, web personalization has not yet been well-exploited; difficulties arise while selecting resources through recommender systems from technology perspective and social perspective. Aim to promote high quality research in order to overcome these two challenges, this workshop will provide a forum for academic and industrial researchers to exchange understandings of past, present and future trends in Web personalization and recommendation making. The themes will be in algorithms, models, applications and interfaces.

Topics and areas include, but not limited to:

User behaviour modelling

Collaborative and content based filtering

Clustering in recommender systems

Hybrid recommender systems

Adaptive user interfaces and personalization techniques

Recommender systems in negotiation and auctions

Ontology learning and mining

Semantic Web Technologies

Measuring personalization effectiveness

Evaluation methods for recommender systems

Opinion mining for user behaviour models

Product modelling

Decision making in e-commerce systems

Data Warehousing in Business Intelligence

Web information gathering

Web mining

Explanation and justification in recommender systems

Distributed and peer?to?peer recommender systems

Reputation management in recommender systems

Security and trust in recommender systems

Recommender applications for social media sites

Social awareness and visualization

Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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