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• W3091242415 abstract "With the development and popularization of e-commerce and Internet, more and more attention has been paid to personalized recommendation for users. The traditional user interest model only considers the user’s behavior on the project, ignoring the user’s context at that time. Pointing to the shortage that context-related factors are not considered in previous works, combining the characteristics of a mobile computing environment, this paper studies the algorithm and model of mobile service recommendation. A recommendation algorithm based on specified context filtering in mobile computing environment is proposed. The context of the classification is aggregated, by grouping the scenarios of the same category together. Through experiments, we found that the improved personalized recommendation algorithms are superior to the common collaborative filtering algorithm." @default.
• W3091242415 created "2020-10-08" @default.
• W3091242415 creator A5064228869 @default.
• W3091242415 date "2020-10-01" @default.
• W3091242415 modified "2023-09-27" @default.
• W3091242415 title "Improved Personalized Recommendation Algorithm Based on Context-Aware in Mobile Computing Environment" @default.
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• W3091242415 doi "https://doi.org/10.1155/2020/8857576" @default.
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