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» Comparing relevance feedback algorithms for web search
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WISE
2005
Springer
14 years 1 months ago
Temporal Ranking of Search Engine Results
Existing search engines contain the picture of the Web from the past and their ranking algorithms are based on data crawled some time ago. However, a user requires not only relevan...
Adam Jatowt, Yukiko Kawai, Katsumi Tanaka
PKDD
2010
Springer
183views Data Mining» more  PKDD 2010»
13 years 6 months ago
Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes
Abstract. In preference learning, the algorithm observes pairwise relative judgments (preference) between items as training data for learning an ordering of all items. This is an i...
Zhao Xu, Kristian Kersting, Thorsten Joachims
CIKM
2008
Springer
13 years 9 months ago
Semi-supervised text categorization by active search
In automated text categorization, given a small number of labeled documents, it is very challenging, if not impossible, to build a reliable classifier that is able to achieve high...
Zenglin Xu, Rong Jin, Kaizhu Huang, Michael R. Lyu...
WWW
2007
ACM
14 years 8 months ago
Multi-factor clustering for a marketplace search interface
Search engines provide a small window to the vast repository of data they index and against which they search. They try their best to return the documents that are of relevance to...
Neel Sundaresan, Kavita Ganesan, Roopnath Grandhi
DEXA
2010
Springer
230views Database» more  DEXA 2010»
13 years 5 months ago
Hybrid Indexing and Seamless Ranking of Spatial and Textual Features of Web Documents
Abstract. There is a significant commercial and research interest in locationbased web search engines. Given a number of search keywords and one or more locations that a user is in...
Ali Khodaei, Cyrus Shahabi, Chen Li