Movie recommendation method combining knowledge graph with auto-encoder
A technology of knowledge graph and recommendation method, which is applied in the field of movie recommendation combined with knowledge graph and auto-encoder, can solve the problems of obtaining auxiliary information, difficulty in recommending system recommendation accuracy, and sparse auxiliary information, and achieves flexible application and strong robustness. and practicality, the effect of improving accuracy
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[0038] Such as figure 1 A knowledge map shown in combination with a self-coder's film recommendation method, including the following steps:
[0039] Step 1 Get all movies of the movie language category of all movies from the knowledge map dbpedia as additional information;
[0040] Step 2 Use the MULTI-HOT method to quantify the obtained movie language category information, as an initial feature extension;
[0041] Step 3 Use the initial feature extension obtained from the coded machine to reduce the obtained initial feature, and the encoding layer output from the coding machine is expressed as the extracted low-vitamin.
[0042] Step 4 The obtained low-dimensionally represents the original feature space that is fused into the movie, and inputs the new features as additional information into the semi-self-coder model to achieve more accurate recommendation.
[0043] This method is specifically as follows:
[0044] Step 1 Get all movie language categories of all movies from the kn...
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