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- W2363912743 abstract "The collaborative filtering recommendation algorithm is the widely used technology in the personalized e-commerce recommendation system.However,the traditional recommendation algorithm neglected trading hours and product pricing when recommended products,which led to the lower quality recommended.To solve this problem,a collaborative filtering model considering time and price factors is proposed in this paper,and experiments show that the improvement of algorithm is most effective when time and price factors are taken into account in the calculation of Pearson correlation coefficient." @default.
- W2363912743 created "2016-06-24" @default.
- W2363912743 creator A5061830034 @default.
- W2363912743 date "2011-01-01" @default.
- W2363912743 modified "2023-09-25" @default.
- W2363912743 title "Collaborative Filtering Recommendation Model of Web Customer Demand Considering Time and Price Factors" @default.
- W2363912743 hasPublicationYear "2011" @default.
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