A method of scholar recommendation and cooperative prediction based on representation learning and competition theory
A technology of scholars and theories, applied in the field of scholar recommendation and cooperative prediction based on representation learning and competition theory, can solve problems such as poor results
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[0042] The technical solutions of the present invention will be further described below in conjunction with specific embodiments and accompanying drawings.
[0043] Such as figure 1 As shown, the embodiment of the present invention discloses a scholar recommendation and cooperation prediction method based on representation learning and competition theory, including the following steps:
[0044] Step 1. Obtain effective data from the Microsoft dataset and preprocess it, and divide it into training set and test set;
[0045] Preprocessing: Obtain scholar groups based on scholar information, filter scholars with low cooperation numbers, obtain effective scholar groups, and establish four factor files of effective scholar groups; taking the title factor file as an example, each piece of information in the file is a python dictionary Type storage, the name of the scholar is the key, and the title information of the scholar’s paper is the value (when the scholar participates in p...
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