Thesis recommendation method based on multilayer drawing
A recommendation method and multi-layer graph technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as no dependencies are taken into account
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[0115] Algorithms used in the present invention are all written and realized by python language. The model used in the experiment is: Intel(R) Core(TM) i3-3220 processor, the main frequency is 3.30G HZ, and the memory is 4G.
[0116] More specifically, as Figure 5 As shown, the present invention operates as follows:
[0117] 1. Construct a paper graph: use the target paper and candidate papers as nodes in the graph, and construct a paper graph according to the citation relationship between the target paper and candidate papers and between candidate papers.
[0118]2. Build a keyword map: use the word weight calculation method to calculate the weight of the words in the paper, remove the words whose weight is less than the threshold, and use the remaining words as keywords, each word as a node, and build keywords with the help of semantic dictionary information Feature map G 1 (V, E).
[0119] 3. Construct a multi-layer map: combine the paper map and keyword feature map ac...
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