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Research On Information Push Strategy Of Party Building Based On LDA Theme Model And Label Clustering

Posted on:2017-01-16Degree:MasterType:Thesis
Country:ChinaCandidate:F YangFull Text:PDF
GTID:2278330488465240Subject:Control Engineering
Abstract/Summary:PDF Full Text Request
Information pushing is an important application requirement of Network Party-construction. The traditional undifferentiated Information pushing of Yunnan Province grassroots party organizations integrated service platform was time consuming and resources wasting. In order to consider the individualized demand for commies, efficient and personalized Information pushing strategy is crucial to Network Party-construction in Yunnan Province.After analyzing the shortages of message sending platform of Yunnan Province grassroots party organizations integrated service platform, such as flattened serve, inefficiency, two personalized information pushing strategies for commies employing the LDA topic model, Word2Vector and Tag Clustering were presented in this paper.:1)By employing LDA topic model, unsupervised clustering was applied on the history data for Party members. Based on the feedback matrix, the Party members’ preference would be deduced, and then a message could be filtered and sent to the selected people considering the relevance between the message and the Party members’ preference.2) After splitting short messages into word segments, the Tags of short messages for Network party-construction could be transformed into vectors with Word2Vec toolset.; Then AP Cluster algorithm was applied on the vectors to cluster Tags by defining the Cosine distance between two vectors; By taking the Commies profile into account and measuring the importance of a tag Cluster to a Commies, an personalized information pushing strategy was presented. At last, as the test data, the real mobile news text on the website of Yunling Pioneer is input in the experimental tests and the results show that this two personalized strategies are more stable and can meet the needs of the real application comparing with the traditional collaborative filtering algorithm and undifferentiated pushing, meanwhile Information organizing and Modeling on Party members’ preference are also implemented.
Keywords/Search Tags:Network party-construction, Information pushing, LDA Topic model, Party members preference, Word2vec, Tag Clustering for Recommendation
PDF Full Text Request
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