Abstract
In order to understand the application mode of e-commerce personalized recommendation algorithm based on collaborative filtering, this paper will carry out relevant research, mainly discussing the basic concepts of collaborative filtering and algorithm, and then designing e-commerce personalized recommendation system based on algorithm concepts. In the process, the traditional algorithm will be improved. Through the research of this paper, the improved personalized recommendation algorithm can give full play to the role of collaborative filtering, and can mine user needs more accurately combined with the system to achieve accurate recommendation of commodity information.
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Guo, G. (2022). Application of E-commerce Personalized Recommendation Algorithm Based on Collaborative Filtering. In: Xu, Z., Alrabaee, S., Loyola-González, O., Zhang, X., Cahyani, N.D.W., Ab Rahman, N.H. (eds) Cyber Security Intelligence and Analytics. CSIA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 125. Springer, Cham. https://doi.org/10.1007/978-3-030-97874-7_140
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DOI: https://doi.org/10.1007/978-3-030-97874-7_140
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