DocumentCode :
658373
Title :
Finding Dominating Set from Verbal Contextual Graph for Personalized Search in Folksonomy
Author :
Ting Jin ; Haoran Xie ; Jingsheng Lei ; Qing Li ; Xiaodong Li ; Xudong Mao ; Yanghui Rao
Author_Institution :
Shanghai Key Lab. of Intell. Inf. Process., Fudan Univ., Shanghai, China
Volume :
1
fYear :
2013
fDate :
17-20 Nov. 2013
Firstpage :
367
Lastpage :
372
Abstract :
With the development of the Internet, user-generated data has been growing tremendously in Web 2.0 era. Facing such a big volume of resources in folksonomy, people need a method of fast exploration and indexing to find their demanded data. To achieve this goal, contextual information is indispensable and valuable to understand user preference and purpose. In sociolinguistics, context can be mainly categorized as verbal context and social context. Comparing with verbal context, social context not only requires domain knowledge to pre-define contextual attributes but also acquires additional data from users. However, there is no research of addressing irrelevant contextual factors for verbal context model so far. The dominating set from verbal context proposed in this paper is to fill this blank. We present the verbal context in folksonomy to capture the user intention, and propose a dominating set discovering method for this verbal context model to prune the irrelevant contextual factors and keep the major characteristics at the same time. Furthermore, the experiments, which are conducted on a public data set, show that the proposed method gives convincing results.
Keywords :
Internet; graph theory; information retrieval; social sciences computing; Web 2.0; contextual attributes; contextual information; domain knowledge; dominating set discovering method; folksonomy; irrelevant contextual factors; personalized search; public data set; social context; sociolinguistics; user intention; user preference; user purpose; user-generated data; verbal contextual graph; Context; Context modeling; Measurement; Mood; Motion pictures; Semantics; Vectors; Dominating set; context; folksonomy; personalized search;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2013 IEEE/WIC/ACM International Joint Conferences on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4799-2902-3
Type :
conf
DOI :
10.1109/WI-IAT.2013.52
Filename :
6690038
Link To Document :
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