Improving sparsity and new user problems in collaborative filtering by clustering the personality factors
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DOI: 10.1007/s10660-018-9287-x
Abstract: In collaborative filtering recommender systems, items recommended to an active user are selected based on the interests of users similar to him/her. Collaborative filtering systems suffer from the ‘sparsity’ and ‘new user’ problems. The former… read more here.
Keywords: collaborative filtering; user; user problems; personality ... See more keywords