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