Paper Info
Title
Social community based blog search framework
Abstract
This study proposes a blog search framework which enables a more in-depth search on a given topic by extracting the collective intelligence features in social community sites and through the query extension using these features. The characteristics of blog contents is that it has a lot of information made up of user experience and trusted more by most users than the contents gained by general search. The proposed framework extends the query using the answer information related to the query which the user wishes to search and gets applied to the blog search on this basis. The information gained from various types of social community sites could be considered as one form of collective intelligence while this has been applied to the blog search. The framework proposed in this paper utilizes the important Q&A information of social community to let the user gain more reliable and useful search results.
Year
DOI
Venue
2012
10.1007/978-3-642-29023-7_15
DASFAA Workshops
Keywords
DocType
Citations 
blog search,blog content,query extension,proposed framework,answer information,in-depth search,general search,blog search framework,useful search result,social community site
Conference
5
PageRank 
References 
Authors
0.41
14
2
Name
Order
Citations
PageRank
Ok-Ran Jeong118122.02
Jehwan Oh2345.04