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- W2890117512 abstract "It is difficult for forum administrators to grasp the timeliness and accuracy of forum hotspot distribution and changes, which is detrimental to the management of forum hotspot trends, and the timeliness and accuracy of user groups with the same concerns, which is not conducive to the forum user’s mutual communication. Therefore, a dynamic interest discovery model based on space-time vector is proposed. In this paper, based on the traditional vector space model (VSM), the TF-IDF algorithm is used to calculate the keyword weights of user interests and construct the user interest vector matrix. The dynamic discovery of the user’s focus through two dimensions of time and space, improving the timeliness and accuracy of the administrator’s grasp of the forum hotspots, and quickly and accurately finding the user groups with the same focus, is conducive to the realization of knowledge sharing. The case study shows that the dynamic discovery model of user interest based on space-time vectors can effectively find out the dynamic changes of the attention points of users and users that meet the concerns." @default.
- W2890117512 created "2018-09-27" @default.
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- W2890117512 date "2018-01-01" @default.
- W2890117512 modified "2023-09-23" @default.
- W2890117512 title "Research on Dynamic Discovery Model of User Interest Based on Time and Space Vector" @default.
- W2890117512 cites W2001821869 @default.
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- W2890117512 doi "https://doi.org/10.1007/978-981-13-2206-8_7" @default.
- W2890117512 hasPublicationYear "2018" @default.
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