Optimizing Parallel Collaborative Filtering Approaches for Improving Recommendation Systems Performance
نویسندگان
چکیده
منابع مشابه
Improving Performance of Movie Recommendation in Collaborative Filtering Systems
Collaborative filtering has been most widely used in commercial sites to recommend items based on the history of user preferences for items. The idea behind this method is to find similar users whose ratings for items are incorporated to make recommendation. Hence, similarity calculation is most critical in recommendation performance. For movie recommendation, this paper enhances performance of...
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Recommender systems utilize information retrieval and machine learning techniques for filtering information and can predict whether a user would like an unseen item. User similarity measurement plays an important role in collaborative filtering based recommender systems. In order to improve accuracy of traditional user based collaborative filtering techniques under new user cold-start problem a...
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ژورنال
عنوان ژورنال: Information
سال: 2019
ISSN: 2078-2489
DOI: 10.3390/info10050155