Dongping Zhao

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This paper introduces an improved user-based movie recommendation algorithm based on the user-based recommendation algorithm, which rewrites usersimilarity by merging users' ages and genders into users' preference values on items. The RMSE (Root Mean Square Error) then is provided to indicate that the proposed algorithm is more accurate that the original(More)
To date, with the rapid development of information society, it has great significance to video websites that using the existing relationship between users and items to analyze users' behavior and find the correlation of information, which can mine users' preferences deeply and provide the optimal recommendations to users. This paper explores an improved(More)
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