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Paper Details
Paper Title
A Survey on Various Techniques of Recommendation System in Web Mining
Authors
Yagnesh G Patel, Vishal P Patel
Abstract
Today internet has made the life of human dependent on it. Almost everything and anything can be used for discovering useful knowledge or information from the internet. Recommendation systems are defined as the techniques used for predict the rating of the social entity or items. These items can be music, videos, books, movies etc. To predict the user’s interest from only past preference is not give particular result. The main objective of area is to solve challenges and issues regarding to finding proper recommend items for users. In this paper we describe the recommendation system related research and then introduces various techniques and approaches used by the recommender system User-based approach, Item-based approach, Hybrid recommendation approaches.
Keywords- Web mining; Recommendation system; Content based approach; Collaborative approach; Hybrid approach
Publication Details
Unique Identification Number - IJEDR1504119Page Number(s) - 696-700Pubished in - Volume 3 | Issue 4 | December 2015DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Yagnesh G Patel, Vishal P Patel, "A Survey on Various Techniques of Recommendation System in Web Mining", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 4, pp.696-700, December 2015, Available at :http://www.ijedr.org/papers/IJEDR1504119.pdf
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