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A Survey of Recommendation System: Research Challenges

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Author(s): Lalita Sharma#1, Anju Gera

Journal: International Journal of Engineering Trends and Technology
ISSN 2231-5381

Volume: 4;
Issue: 5;
Start page: 1989;
Date: 2013;
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Keywords: Collaborative Filtering | Content-Based Recommendation | Recommendation System | Sparsity Problem..Cold Start | over specialization.

ABSTRACT
Recommendation is a process which plays an important role in many applications as WWW.The main objective of this paper is to show various challenges regarding to the techniques that are being used for generating recommendations. Recommendation techniques can be classified in to three major categories: Collaborative Filtering, Content Based and Hybrid Recommendations. By giving the overview of these problems we can improve the quality of recommendations by inventing new approaches and methods, which can be used as a highway for research and practice in this area.

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