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» Query chains: learning to rank from implicit feedback
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TREC
2003
14 years 11 months ago
Ranking Function Discovery by Genetic Programming for Robust Retrieval
Ranking functions are instrumental for the success of an information retrieval (search engine) system. However nearly all existing ranking functions are manually designed based on...
Li Wang, Weiguo Fan, Rui Yang, Wensi Xi, Ming Luo,...
AIRS
2005
Springer
15 years 3 months ago
Query Expansion with the Minimum Relevance Judgments
Query expansion techniques generally select new query terms from a set of top ranked documents. Although a user’s manual judgment of those documents would much help to select goo...
Masayuki Okabe, Kyoji Umemura, Seiji Yamada
KDD
2004
ACM
148views Data Mining» more  KDD 2004»
15 years 10 months ago
Spying Out Accurate User Preferences for Search Engine Adaptation
Abstract. Most existing search engines employ static ranking algorithms that do not adapt to the specific needs of users. Recently, some researchers have studied the use of clickth...
Lin Deng, Wilfred Ng, Xiaoyong Chai, Dik Lun Lee
MM
2009
ACM
221views Multimedia» more  MM 2009»
15 years 4 months ago
Using large-scale web data to facilitate textual query based retrieval of consumer photos
The rapid popularization of digital cameras and mobile phone cameras has lead to an explosive growth of consumer photo collections. In this paper, we present a (quasi) real-time t...
Yiming Liu, Dong Xu, Ivor W. Tsang, Jiebo Luo
JCIT
2008
93views more  JCIT 2008»
14 years 9 months ago
A search quality evaluation based on objective-subjective method
Commercial search engines, especially meta-search engines was designed to retrieve the information by submitting users' queries to multiple conventional search engines and in...
Fugui Wang, Yajun Du, Qinhua Dong