Typicality-Based Collaborative Filtering Recommendation
نویسندگان
چکیده
منابع مشابه
Typicality Based - Collaborative Filtering Recommendation
Collaborative filtering is a good mechanism used in recommender system, which is used to find the similar items in a group. The similar favour items can be identified by using the collaborative filtering based on items and the users. However there are some drawbacks in previous filtering techniques which leads to less accuracy, data sparsity and prediction errors. In the huge collection of data...
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Collaborative filtering is a good mechanism used in recommender system, which is used to find the similar items in a group. The similar favour items can be identified by using the collaborative filtering based on items and the users. However there are some drawbacks in previous filtering techniques which leads to less accuracy, data sparsity and prediction errors. In the huge collection of data...
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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: IEEE Transactions on Knowledge and Data Engineering
سال: 2014
ISSN: 1041-4347
DOI: 10.1109/tkde.2013.7