Title :
Context-Aware News Recommender in Mobile Hybrid P2P Network
Author :
Yeung, Kam Fung ; Yang, Yanyan ; Ndzi, David
Author_Institution :
Dept. of Electron. & Comput. Eng., Univ. of Portsmouth, Portsmouth, UK
Abstract :
With the emergence of pervasive environment, mobile recommender needs to make use of user in-time contextual information to provide personalized recommendation. In this paper, a proactive context-aware news recommender in mobile hybrid P2P network is designed and implemented. We develop a general Analytic Hierarchy Process (AHP) model through empirical studies. We discuss how the relative weight of each AHP criteria can be computed via user assignment and user history. We combine both Contend-based filtering and Collaborative filtering approach to predict user interest using Bayesian Network. The experiments show the system can recommend real time news stories that satisfy the user.
Keywords :
belief networks; information filtering; mobile computing; peer-to-peer computing; recommender systems; Bayesian network; analytic hierarchy process model; collaborative filtering approach; contend based filtering; context aware news recommender; mobile hybrid P2P network; pervasive environment; user in-time contextual information; Bayesian methods; Context; Filtering; History; Mobile communication; Mobile handsets; Servers; Analytic Hierarchy Process; Bayesian Network; Collaborative filtering; Content-based filtering; Personalized Recommendation; Proactively;
Conference_Titel :
Computational Intelligence, Communication Systems and Networks (CICSyN), 2010 Second International Conference on
Conference_Location :
Liverpool
Print_ISBN :
978-1-4244-7837-8
Electronic_ISBN :
978-0-7695-4158-7
DOI :
10.1109/CICSyN.2010.48
