Improved Personalized Recommendation Algorithm Based on Context-Aware in Mobile Computing Environment

Fei Long, Hongju Cheng
2020 Wireless Communications and Mobile Computing  
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
more » ... mendation. 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.
doi:10.1155/2020/8857576 fatcat:iyp3gx5ynrahbbfa6jqt5ijo4a