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» Capturing User Intent for Information Retrieval
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ICASSP
2009
IEEE
13 years 11 months ago
Spoken dialog strategy based on understanding graph search
We regarded information retrieval as a graph search problem and proposed several novel dialog strategies that can recover from misrecognition through a spoken dialog that traverse...
Yuji Kinoshita, Chiyomi Miyajima, Norihide Kitaoka...
WSDM
2010
ACM
194views Data Mining» more  WSDM 2010»
14 years 4 months ago
Ranking with Query-Dependent Loss for Web Search
Queries describe the users' search intent and therefore they play an essential role in the context of ranking for information retrieval and Web search. However, most of exist...
Jiang Bian, Tie-Yan Liu, Tao Qin, Hongyuan Zha
APIN
1999
102views more  APIN 1999»
13 years 7 months ago
Constructing Information Bases Using Associative Structures
We present an approach based on knowledge medium using associative structures as a framework of information representation to gather raw information from heterogeneous information...
Harumi Maeda, Kazuto Koujitani, Toyoaki Nishida
MM
2005
ACM
97views Multimedia» more  MM 2005»
14 years 1 months ago
Recognition of hands-free speech and hand pointing action for conversational TV
In this paper, we propose a structure and components of a conversational television set(TV) to which we can ask anything on the broadcasted contents and receive the interesting in...
Yasuo Ariki, Tetsuya Takiguchi, Atsushi Sako
WWW
2009
ACM
14 years 8 months ago
Search result re-ranking based on gap between search queries and social tags
Both search engine click-through log and social annotation have been utilized as user feedback for search result re-ranking. However, to our best knowledge, no previous study has ...
Jun Yan, Ning Liu, Elaine Qing Chang, Lei Ji, Zhen...