The International Workshop on Web Personalization, Recommender Systems and Social Media
Views: 676
When : 2017-08-23
Where : Leipzig, Germany
Submission Deadline : 2017-05-01
Categories : Software Engineering & Security , Artificial Intelligence
The International Workshop on Web Personalization, Recommender Systems and Social Media(WPRSM 2017)
August 23, 2017
Leipzig, Germany
Call for Papers:
With the explosive growth of resources available through the Internet, information overload has become a serious issue. Especially the emergence of social media has created highly interactive platforms for users to create, share, exchange information and build social networks. Web users are commonly overwhelmed by huge volume of information and are faced with the challenge of finding the most relevant information. Recommender systems represent tools for efficient selection of the most relevant information resources, and the interest in such systems has increased dramatically over the last few years. However, web personalization has not yet been well-exploited; difficulties arise while selecting resources through recommender systems from technology perspective and social perspective; also solutions are needed for effective interaction & collaboration between users and maintain trustworthiness and reliability of information on social media. The aim of this workshop is to promote high quality research in technical and human aspects related to Web personalization, social media and resource selection through recommender systems. The workshop will provide a forum for academic and industrial researchers to exchange ideas about past, present and future trends in Web personalization, social media and resource selection, and for discussing new and innovative approaches.
Topics:
- Adaptive user interfaces
- Clustering and classification in recommender systems
- Collaborative and content based filtering
- Content management and modelling
- Distributed and peer-to-peer recommender systems
- Evaluation methods for recommender systems
- Explanation and justification in recommender systems
- Hybrid recommender systems
- Measuring personalization effectiveness
- Modelling decision making in e-commerce systems
- Ontology learning and semantic web technologies
- Ownership of social media content
- Product modelling, user opinion mining and data extraction
- Recommender applications for social media sites
- Security and Privacy in social media
- Security and trust in recommender systems
- Trust and reputation management
- Trustworthiness and reliability on social media
- User behaviour modelling and personalization techniques
Important Dates:
- Paper Submission: May 01, 2017
- Author Notification:May 28, 2017
- Final Version Due : June 10, 2017
User Name : Claude
Posted 13-03-2017 on 14:39:26 AEDT