Optimised Research Paper Recommender System Using Social Tagging

In this paper we proposed the method for recommending the research papers to the users. The proposed methodology involves two main steps: obtaining the database from the Google followed by the filtering of research papers on the basis of social tagging. We used Neighbor Weighted Collaborative filtering algorithm. Social tagging is used to provide the optimal results to the user.

[1]  Peter Brusilovsky,et al.  2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Improving Collaborative Filtering in Social Tagging Systems for the Recommendation of Scientific Articles , 2022 .

[2]  Liliana Ardissono,et al.  A SOA-Based Model Supporting Adaptive Web-Based Applications , 2008, 2008 Third International Conference on Internet and Web Applications and Services.

[3]  Judith Gelernter,et al.  A quantitative analysis of collaborative tags: Evaluation for information retrieval—a preliminary study , 2007, 2007 International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2007).

[4]  Worasit Choochaiwattana,et al.  Usage of tagging for research paper recommendation , 2010, 2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE).

[5]  Andreas Hotho,et al.  Tag Recommendations in Folksonomies , 2007, LWA.

[6]  Xiaoming Li,et al.  A Personalized Recommendation Model Based on Social Tags , 2010, 2010 2nd International Workshop on Database Technology and Applications.

[7]  Dinan Gunawardena,et al.  Social tags: meaning and suggestions , 2008, CIKM '08.

[8]  Manfred Langen,et al.  Using association rules for discovering tag bundles in social tagging data , 2010, 2010 International Conference on Computer Information Systems and Industrial Management Applications (CISIM).