Research of Slope One Collaborative Filtering Algorithm Based on Item Association
SHEN Jinxiang
BAO Meiying
Abstract：The Slope One collaborative filtering algorithm based on the project and its improved algorithm simply consider all the projects of common scores in the deviation calculation,without considering the relevance between the projects,which affects the accuracy of the recommendation. A Slope One collaborative filtering algorithm based on item association is proposed. The concept and principle of association rules are integrated into the traditional Slope One algorithm. The correlation between items is considered in calculation. The non frequent items are removed by introducing the confidence weighting and setting the minimum support thresh?old to reduce the calculation amount of the prediction process,so as to improve the prediction results precision. MovieLens data sets are used to verify the results. The results show that the proposed algorithm effectively improves the accuracy of prediction results.
Keywords：recommendation algorithmcollaborative filteringSlope One algorithmassociation rules
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 1856-1860,1908 )