Research on the construction method of user interest model based on context

Zhenyu Hou; Yangsen Zhang; Renjie Wang; Shaohui Xie; Zhenjiang Su

doi:10.1117/12.2646323

23 August 2022 Research on the construction method of user interest model based on context

Zhenyu Hou, Yangsen Zhang, Renjie Wang, Shaohui Xie, Zhenjiang Su

Proceedings Volume 12330, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022); 123301Z (2022) https://doi.org/10.1117/12.2646323
Event: International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022), 2022, Huzhou, China

Abstract

User interest model is the core of personalized information service, and its quality has a direct impact on the effect of personalized information service. However, the traditional interest model often only considers the user's interest in the text and ignores the influence of contextual information. Therefore, in order to avoid the interaction between context and interest features, this paper proposes a multi-level vector space interest model representation method. Then, the user's interest is weighted from many aspects by using the user's contextual information. Finally, the personalized retrieval experiment is carried out by using the constructed interest model. The experimental results show that the retrieval precision based on the model reaches 83.72%, which proves the validity and reliability of the model.

Citation Download Citation

Zhenyu Hou, Yangsen Zhang, Renjie Wang, Shaohui Xie, and Zhenjiang Su "Research on the construction method of user interest model based on context", Proc. SPIE 12330, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022), 123301Z (23 August 2022); https://doi.org/10.1117/12.2646323

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available