Improved Neighborhood Search for Collaborative Filtering
نویسندگان
چکیده
منابع مشابه
Improved Neighborhood-based Collaborative Filtering
Recommender systems based on collaborative filtering predict user preferences for products or services by learning past user-item relationships. A predominant approach to collaborative filtering is neighborhood based (“k-nearest neighbors"), where a user-item preference rating is interpolated from ratings of similar items and/or users. In this work, we enhance the neighborhood-based approach le...
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E-commerce, buying and selling of products by electronic means, has become popular due to the emergence of World Wide Web. One of the vital components of e-commerce systems is recommender systems (RSs). The RS is employed as a part of e-commerce system to help users in finding products of their interest from a huge number of available products. The Collaborative filtering (CF) approach is one o...
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Privacy is an important challenge facing the growth of the Web and the propagation of various transaction models supported by it. Decentralized distributed models of computing are used to mitigate privacy breaches by eliminating a single point of failure. However, end-users can still be attacked in order to discover their private information. This work proposes using distributed hierarchical ne...
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ژورنال
عنوان ژورنال: INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS
سال: 2018
ISSN: 1598-2645,2093-744X
DOI: 10.5391/ijfis.2018.18.1.29