Recommender system for Persian blogs

With the rapid growth of the internet and the spread of the information contained therein, the volume of information available on the web is more than the ability of users to manage, capture and keep the information up to date. One solution to this problem are personalization and recommender systems. Recommender systems use the comments of the group of users so that, to help people in that group more effectively to identify their favorite items from a huge set of choices. In recent years, the web has seen very strong growth in the use of blogs. Considering the high volume of information in blogs, bloggers are in trouble to find the desired information and find blogs with similar thoughts and desires. Therefore, considering the mass of information for the blogs, a blog recommender system seems to be necessary. In this paper, by combining different methods of clustering and collaborative filtering, personalized recommender system for Persian blogs is suggested.

[1]  Hassan Abolhassani,et al.  Blog Summarization for Blog Mining , 2009, Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing.

[2]  Modou Gueye,et al.  Dynamic recommender system : using cluster-based biases to improve the accuracy of the predictions , 2012, EGC.

[3]  Wei Wang,et al.  Recommender system application developments: A survey , 2015, Decis. Support Syst..

[4]  Lior Rokach,et al.  Recommender Systems: Introduction and Challenges , 2015, Recommender Systems Handbook.

[5]  Robin D. Burke,et al.  Hybrid Recommender Systems: Survey and Experiments , 2002, User Modeling and User-Adapted Interaction.

[6]  Jon M Kleinberg,et al.  Hubs, authorities, and communities , 1999, CSUR.

[7]  Rob Johnson,et al.  iTag: a personalized blog tagger , 2009, RecSys '09.

[8]  V. Mirrokni,et al.  A recommender system based on local random walks and spectral methods , 2007, WebKDD/SNA-KDD '07.

[9]  Sergey Brin,et al.  The Anatomy of a Large-Scale Hypertextual Web Search Engine , 1998, Comput. Networks.

[10]  Ko Fujimura,et al.  The EigenRumor Algorithm for Ranking Blogs , 2005 .

[11]  Yung-Ming Li,et al.  A synthetical approach for blog recommendation: Combining trust, social relation, and semantic analysis , 2009, Expert Syst. Appl..

[12]  Hassan Abolhassani,et al.  BlogDisc: A System for Automatic Discovery and Accumulationof Persian Blogs , 2007 .

[13]  Ting-Chun Peng,et al.  iTrustU: a blog recommender system based on multi-faceted trust and collaborative filtering , 2009, SAC '09.

[14]  Taghi M. Khoshgoftaar,et al.  A Survey of Collaborative Filtering Techniques , 2009, Adv. Artif. Intell..

[15]  Abdul Rahman Ramli,et al.  Formulating Priority Coefficients for Information Quality Criteria on the Blog , 2008, CSICC.

[16]  K. S. Esmaili,et al.  Comparing Performance of Recommendation Techniques in the Blogsphere , 2006 .