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Solutions to the Cold Start Problem in Recommender System: A survey

Shital N Gondaliya, Kiran Amin


Collaborative Filtering (CF) is one of the techniques of recommender system to recommend the items to user based on previously collected preferences of other users. The efficiency of recommendation is mainly depending on how much information about target user and target item available in the system. When this information are not available sufficiently then it creates problem in the system for the new user and new item, which is known as the cold start problem. This problem is very challenging for CF as it deteriorates the performance of recommendations. In literature, many authors have tried to overcome this problem. This study surveys the work done till date for the solution of cold start problem.

Keywords: Recommender System, Cold Start Problem, New Item Cold Start, New User Cold Start, Data Sparsity

Cite this Article

Shital N. Gondaliya, Kiran Amin. Solutions to the Cold Start Problem in Recommender System: A Survey. Journal of Software Engineering Tools & Technology Trends. 2018; 5(3): 14–21p.

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