Research on information recommendation method of online education platform based on user preference model

Hui Li; Li Jiao

doi:10.1117/12.3006307

10 October 2023 Research on information recommendation method of online education platform based on user preference model

Hui Li, Li Jiao

Author Affiliations +

Proceedings Volume 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023); 127992S (2023) https://doi.org/10.1117/12.3006307
Event: 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 2023, Kuala Lumpur, Malaysia

Abstract

In response to the current online education platform cannot well recommend personalized content to users, this study is based on user preferences, by building a user preference algorithm model for user survey and recommending courses to users according to the model guidance. A user preference modeling that incorporates long and short-term memory networks and self-attentive algorithm models is designed. Considering the influence of time interval between user behaviors on user preferences, the LSTM algorithm model is improved by using time gates and cosine functions to obtain user long-term preferences from user historical behavior sequences, and then user short-term interests are obtained by modeling user current session behavior sequences by introducing temporal location encoding information between user behaviors in the self-attentive algorithm model. The experimental results show that the user satisfaction is good, which indicates that this user preference algorithm model has some validity.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Hui Li and Li Jiao "Research on information recommendation method of online education platform based on user preference model", Proc. SPIE 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 127992S (10 October 2023); https://doi.org/10.1117/12.3006307

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