Name
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. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/IBICA.2011.100 | IBICA |
Keywords | Field | DocType |
personalities mining,feature model,interest model,semantic networks,method peformance good accuracy,inference mechanisms,real feature attribut,community user,ontology semantic analysis,feature attribute,pattern matching,interest set,precision marketing,community marketing,web community,semantic mining,concerned content etc,ontologies (artificial intelligence),consumer behaviour,data mining,behavior analysis,user model,advertising data processing,community user personalities mining,ontologies,entropy,correlation,speech,accuracy | Ontology (information science),Ontology,World Wide Web,Precision marketing,Computer science,Semantic network,Feature model,Web community,User modeling,Community marketing | Conference |
ISBN | Citations | PageRank |
978-1-4577-1219-7 | 0 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei Yu | 1 | 125 | 19.50 |
| Ting Xiong | 2 | 0 | 1.35 |