DocumentCode :
2863173
Title :
Personalities Mining of Community Users Based on the Ontology Semantic Analysis
Author :
Yu, Wei ; Xiong, Ting
Author_Institution :
Comput. Sch., Wuhan Univ., Wuhan, China
fYear :
2011
fDate :
16-18 Dec. 2011
Firstpage :
383
Lastpage :
388
Abstract :
Community marketing,whose core of precision marketing, is pushingthe advertisement to the users who really need it.In this article, through building the feature model and interest model of users , we use ontology analysis and semantic mining to analyse behavior characteristics,statement and comments,concerned content etc,and finally dynamically build the real feature attribut and interest set of community users. In addition, we use reasoning under uncertainty to deduce users´ feature and interest. Our experiment demonstrate that this method peformance good accuracy on users´ feature attribute and interest set.
Keywords :
advertising data processing; consumer behaviour; data mining; inference mechanisms; ontologies (artificial intelligence); semantic networks; behavior analysis; community marketing; community user personalities mining; feature attribute; interest set; ontology semantic analysis; semantic mining; Accuracy; Communities; Correlation; Education; Entropy; Ontologies; Speech; Web Community; pattern matching; user model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovations in Bio-inspired Computing and Applications (IBICA), 2011 Second International Conference on
Conference_Location :
Shenzhan
Print_ISBN :
978-1-4577-1219-7
Type :
conf
DOI :
10.1109/IBICA.2011.100
Filename :
6118766
Link To Document :
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