A Survey of Recommendation System: Research Challenges

A Survey of Recommendation System: Research Challenges

  ijett-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2013 by IJETT Journal
Volume-4 Issue-5                      
Year of Publication : 2013
Authors : Lalita Sharma , Anju Gera

Citation 

Lalita Sharma , Anju Gera. "A Survey of Recommendation System: Research Challenges ". International Journal of Engineering Trends and Technology (IJETT). V4(5):1989-1992 May 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group.

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 t echniques 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 impro ve the quality of recommendations by invent ing new approaches and methods, which can be used as a highway for research and practice in this area.

References

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Keywords
Collaborative Filtering, Content - Based Recommendation, Recommendation System, Sparsity Problem. Cold Start ,over specialization .