DocumentCode :
1944020
Title :
Application of keyword map-based relevance feedback to interactive Blog search
Author :
Takama, Yasufumi ; Kajinami, Tomoki ; Matsumura, Akio
Author_Institution :
Tokyo Metropolitan Inst. of Technol., Japan
fYear :
2005
fDate :
19-21 May 2005
Firstpage :
112
Lastpage :
115
Abstract :
There exists vast amount of information in the Web, from which users usually gather information without definite information needs. The relevance feedback techniques have been studied in the field of document retrieval, aiming to generate appropriate queries for users´ information needs. Although this approach is effective when the assumption that a user has concrete criteria on the relevance of retrieved documents is valid, it is expected that this assumption cannot always hold when searching Blog, which consists of vast number of short articles about various topics. In particular, it is assumed that a user is exploring the Blog space while having multiple interests at the same time. In this paper, keyword map-based relevance feedback is applied to interactive Blog search. Compared with the previous work on keyword map-based relevance feedback, the proposed algorithm can consider multiple topics, in which a user is interested on the keyword map.
Keywords :
Internet; information needs; interactive systems; query formulation; relevance feedback; Blog space; Web interaction; document retrieval; information needs; information visualization; interactive Blog search; keyword map-based relevance feedback; Concrete; Feedback; Information resources; Information retrieval; Information services; Internet; Radio frequency; Space exploration; Visualization; Web sites;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Active Media Technology, 2005. (AMT 2005). Proceedings of the 2005 International Conference on
Print_ISBN :
0-7803-9035-0
Type :
conf
DOI :
10.1109/AMT.2005.1505280
Filename :
1505280
Link To Document :
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