WPPRS 2011 - WPPRS International Workshop on Web Personalization, Reputation and Recommender Systems

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WPPRS 2011 - WPPRS International Workshop on Web Personalization, Reputation and Recommender Systems

Website www.wi-iat-2011.org/IAT_2011/ | Edit Freely

Category WPPRS 2011

Deadline: April 04, 2011 | Date: August 22, 2011

Venue/Country: Lyon, France

Updated: 2011-06-12 00:40:47 (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 and reputation systems from technology perspective and social perspective. Aiming to promote high quality research in order to overcome these challenges, this workshop will provide a forum for academic and industrial practitioners to exchange understandings of past, present and future trends in Web personalization and recommendation making, and strengthen the research in the areas of Web personalization, reputation and recommender systems.

Topics and areas include, but not limited to:

User behaviour modelling

Collaborative and content based filtering

Clustering in recommender systems

Hybrid recommender systems

Security and trust in recommender systems

Adaptive user interfaces and personalization techniques

Recommender systems in negotiation and auctions

Explanation and justification in recommender systems

Distributed and peer?to?peer recommender systems

Reputation systems

Trust models

Trust and reputation management

Recommender applications for social media sites

Social awareness and visualization

Personalized ontology learning and mining

Semantic Web Technologies

Measuring personalization effectiveness

Evaluation methods for recommender systems

Opinion mining for user behaviour models

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