Content-based cross-domain recommendation method
A recommendation method and cross-domain technology, applied in neural learning methods, biological neural network models, instruments, etc., can solve problems such as data sparseness and cold start
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[0032] Such as figure 1 and figure 2 As shown, the content-based cross-domain recommendation method of the present invention includes the following steps:
[0033] Step S1: collect the text corpus of the source domain and the text corpus of the target domain respectively, and perform word segmentation statistics to obtain the user interest vocabulary.
[0034] Step S2: Use the text information of items in the user behavior sequence in the source domain as the source domain training data, and use the text information of each item in the target domain as the target domain training data.
[0035] Step S21: Take the text information of the 50 items that the user has recently interacted with in the source domain and splicing them into the user behavior sequence text according to the interaction occurrence time, and randomly select one of the 50 item sequences as the prediction target, and delete it in the sequence ; The text information of the rest of the items is used as the so...
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