Improved Collaborative Filtering Algorithm using Topic Model
نویسندگان
چکیده
منابع مشابه
An Improved User-model-based Collaborative Filtering Algorithm ⋆
Collaborative filtering is an algorithm successfully and widely used in recommender system. However, it suffers from data sparsity, recommendation accuracy and system scalability problems. This paper proposes an improved user model for collaborative filtering to explore a solution to these problems. The ratings are firstly been normalized by decoupling normalization method, and then a nonlinear...
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recommender systems (rs) provide personalized recommendation according to user need by analyzing behavior of users and gathering their information. one of the algorithms used in recommender systems is user-based collaborative filtering (cf) method. the idea is that if users have similar preferences in the past, they will probably have similar preferences in the future. the important part of col...
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In Electronic Commerce it is not easy for customers to find the best suitable goods as more and more information is placed on line. In order to provide information of high value a customized recommender system is required. One of the typical information retrieval techniques for recommendation systems in Electronic Commerce is collaborative filtering which is based on the ratings of other custom...
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We consider the interactive model of collaborative filtering, where each member of a given set of users has a grade for each object in a given set of objects. The users do not know the grades at start, but a user can probe any object, thereby learning her grade for that object directly. We describe reconstruction algorithms which generate good estimates of all user grades (“preference vectors”)...
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ژورنال
عنوان ژورنال: ITM Web of Conferences
سال: 2016
ISSN: 2271-2097
DOI: 10.1051/itmconf/20160705008