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Academic resources on web include courses, educational videos, scientific literatures, experts, peers and all of the useful stuff for research. It is crucial for researchers especially freshman to access and control the academic resources when they start and conduct a research subject. This paper proposes a recommendation system suggests high-quality materials to users according to their research...
Collaborative Filtering (CF) is the most successful approach of Recommender System. Although it has made significant progress over the last decade, the current CF method is stressed by the sparsity problem. In this paper we propose a novel approach to address this issue. Multiple Imputation (MI) is a useful statistic strategy for dealing with data sets with missing values and replace each missing...
This paper makes a comprehensive introduction to collaborative filtering aiming to facilitate readers to understand this field. Firstly the research background is introduced, including mainstream collaborative filtering applications, research conferences and journals. Then this paper briefly describes the current generation of collaborative filtering that are usually classified into the following...
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