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International Journal of Computer Engineering in Research Trends. Scholarly, Peer-Reviewed,Open Access and Multidisciplinary

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Typicality Based Content-Boosted Collaborative Filtering Recommendation Framework

N.SATISH KUMAR, SUJAN BABU VADDE, , ,
Affiliations
M.Tech (CSE), Department of Computer Science & Engineering, NRI Institute of Technology
Assistant Professor, Department of Computer Science & Engineering, NRI Institute of Technology
:NOT ASSIGNED


Abstract
Collaborative filtering (CF) is significant and admired technology for recommender systems. Recommender frameworks have been turned out to be significant means for web online clients to adapt to the information overload and have ended up a standout amongst the most effective and prevalent tools in electronic commerce. Recommending and personalization are critical ways to deal with combating information overload. Machine Learning is an imperative piece of frameworks for these assignments. Collaborative filtering has issues, substance based routines address these issues integrating both is best.


Citation
N.SATISH KUMAR,SUJAN BABU VADDE."Typicality Based Content-Boosted Collaborative Filtering Recommendation Framework". International Journal of Computer Engineering In Research Trends (IJCERT) ,ISSN:2349-7084 ,Vol.2, Issue 11,pp.809-813, November- 2015, URL :https://ijcert.org/ems/ijcert_papers/V2I1122.pdf,


Keywords : Collaborative Filtering, Content-based Recommender System, Neighbor Selection

References
[1] Z. Huang, H. Chen, and D. Zeng, “Applying Associative Retrieval Techniques to Alleviate the Sparsity Problem in Collaborative Filtering,” ACM Trans. Information Systems, vol. 22, no. 1, pp. 116- 142, 2004. 
[2] G. Adomavicius and A. Tuzhilin, “Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions,” IEEE Trans. Knowledge and Data Eng., vol. 17, no. 6, pp. 734-749, June 2005. 
[3] K.M. Galotti, Cognitive Psychology In and Out of the Laboratory, third ed. Wadsworth, 2004. 
[4] G.L. Murphy, The Big Book of Concepts. MIT Press, 2002. 
[5] L.W. Barsalou, Cognitive Psychology: An Overview for Cognitive Scientists. Lawrence Erlbaum Assoc., 1992.
 [6] S. Schiffer and S. Steele, Cognition and Representation. Westview Press, 1988. 
[7] D.L. Medin and E.E. Smith, “Concepts and Concept Formation,” Ann. Rev. of Psychology, vol. 35, pp. 113- 138, 1984. 
[8] W. Vanpaemel, G. Storms, and B. Ons, “A Varying Abstraction Model for Categorization,” Proc. Cognitive Science Conf. (CogSci’05), pp. 2277-2282, 2005.


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Citations Indices All
Citations 1026
h-index 14
i10-index 20
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2015 18.2%
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DOI:10.22362/ijcert