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Web service recommendation method based on theme and service combination information

ActiveCN108629010ASolve the problem of sparse data and inaccurate similarity calculationSolve the problem of sparseness and inaccurate similarity calculationSpecial data processing applicationsMatrix decompositionService composition
The invention discloses a web service recommendation method based on theme and service combination information. The method includes the steps of firstly, obtaining a historical score record of user web services and description information and service combination information of the web services; secondly, obtaining a service-theme matrix through an LDA model, and calculating the theme similarity between the web services according to the service-theme matrix; thirdly, calculating a service combination similarity matrix between the web services; fourthly, selecting a neighbor set of each web service according to the theme similarity and the service combination similarity matrix; fifthly, fusing the neighbor set and the similarity matrix with an SVD matrix decomposition model to predict a store; sixthly, selecting a plurality of services with the highest score according to the predicted score for recommendation. In the method, by introducing the considering of the service theme informationand the service combination information, the new dimension is introduced to web service recommendation, the recommendation precision is improved, and meanwhile the method can solve the cold start problem of partial service recommendation and has wide market prospects.
Owner:NANJING UNIV
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