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6 May 2024 Collaborative recommendation for user spatial activities in mobile environments
Ying Zhang, Fan Zhang
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Proceedings Volume 13107, Fourth International Conference on Sensors and Information Technology (ICSI 2024); 131072H (2024) https://doi.org/10.1117/12.3029272
Event: Fourth International Conference on Sensors and Information Technology (ICSI 2024), 2024, Xiamen, China
Abstract
Recommendation technologies are facing new challenges in mobile environments due to the complexity of user behaviors in dynamic contexts. In this paper, we focus on the integration of internet content access with user natural behaviors, and propose a context-aware collaborative recommendation paradigm for user spatial activities in mobile environments. In the proposed approach, potential user behavior patterns with contexts and preferences are discovered from historical logs. Then, temporal activity prediction and service recommendation tasks are performed according to the target user’s real-time behavioral contexts using an improved collaborative filtering algorithm. Analysis and experiments indicate that our approach can effectively improve the quality of service recommendation in mobile computing environments.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Ying Zhang and Fan Zhang "Collaborative recommendation for user spatial activities in mobile environments", Proc. SPIE 13107, Fourth International Conference on Sensors and Information Technology (ICSI 2024), 131072H (6 May 2024); https://doi.org/10.1117/12.3029272
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KEYWORDS
Internet
Data mining
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