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

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Survey on Collaborative Filtering and Content-Based Recommending

Tekur Vijetha, M.Sri lakshmi, Dr.S.Prem Kumar, ,
Affiliations
(M.Tech), CSE
Assistant Professor, Department of Computer Science and Engineering
Professor & HOD, Department of computer science and engineering, G.Pullaiah College of Engineering and Technology, Kurnool, Andhra Pradesh, India.
:NOT ASSIGNED


Abstract
Collaborative filtering (CF) is an important and popular technology for recommender systems. Recommender systems have been proven to be valuable means for web online users to cope with the information overload and have become one of the most powerful and popular tools in electronic commerce. Recommending and personalization are important approaches to combating information over-load.Machine Learning is an important part of systems for these tasks. Collaborative filtering has problems. Content-based methods address these problems (but have problems of their own).Integrating both is best.


Citation
Tekur Vijetha,M.Sri lakshmi,Dr.S.Prem Kumar."Survey on Collaborative Filtering and Content-Based Recommending". International Journal of Computer Engineering In Research Trends (IJCERT) ,ISSN:2349-7084 ,Vol.2, Issue 09,pp.594-599, SEPTEMBER - 2015, URL :https://ijcert.org/ems/ijcert_papers/V2I914.pdf,


Keywords : Collaborative Filtering (a.k.a. social filtering), Content-based Recommender Systems.

References
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[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. 
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[5] L.W. Barsalou, Cognitive Psychology: An Overview for Cognitive Scientists. Lawrence Erlbaum Assoc., 1992. 
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[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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DOI:10.22362/ijcert


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