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» Exploiting Semantic Query Context to Improve Search Ranking
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SIGIR
2011
ACM
12 years 10 months ago
Learning search tasks in queries and web pages via graph regularization
As the Internet grows explosively, search engines play a more and more important role for users in effectively accessing online information. Recently, it has been recognized that ...
Ming Ji, Jun Yan, Siyu Gu, Jiawei Han, Xiaofei He,...
ARCS
2004
Springer
14 years 24 days ago
Latent Semantic Indexing in Peer-to-Peer Networks
Searching in decentralized peer-to-peer networks is a challenging problem. In common applications such as Gnutella, searching is performed by randomly forwarding queries to all pee...
Xuezheng Liu, Ming Chen, Guangwen Yang
ICASSP
2011
IEEE
12 years 11 months ago
Semantic data selection for vertical business voice search
Local business voice search is a popular application for mobile phones, where hands-free interaction and speed are critical to users. However, speech recognition accuracy is still...
Giuseppe Di Fabbrizio, Diamantino Caseiro, Amanda ...
WWW
2010
ACM
14 years 2 months ago
LCA-based selection for XML document collections
In this paper, we address the problem of database selection for XML document collections, that is, given a set of collections and a user query, how to rank the collections based o...
Georgia Koloniari, Evaggelia Pitoura
SIGIR
2009
ACM
14 years 1 months ago
Risky business: modeling and exploiting uncertainty in information retrieval
Most retrieval models estimate the relevance of each document to a query and rank the documents accordingly. However, such an approach ignores the uncertainty associated with the ...
Jianhan Zhu, Jun Wang, Ingemar J. Cox, Michael J. ...