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CIVR
2010
Springer
276views Image Analysis» more  CIVR 2010»
14 years 1 months ago
Optimizing visual search with implicit user feedback in interactive video retrieval
This paper describes an approach to optimize query by visual example results, by combining visual features and implicit user feedback in interactive video retrieval. To this end, ...
Stefanos Vrochidis, Ioannis Kompatsiaris, Ioannis ...
CIKM
2008
Springer
13 years 10 months ago
Learning latent semantic relations from clickthrough data for query suggestion
For a given query raised by a specific user, the Query Suggestion technique aims to recommend relevant queries which potentially suit the information needs of that user. Due to th...
Hao Ma, Haixuan Yang, Irwin King, Michael R. Lyu
AIRWEB
2007
Springer
14 years 3 months ago
Extracting Link Spam using Biased Random Walks from Spam Seed Sets
Link spam deliberately manipulates hyperlinks between web pages in order to unduly boost the search engine ranking of one or more target pages. Link based ranking algorithms such ...
Baoning Wu, Kumar Chellapilla
SIGMOD
2010
ACM
250views Database» more  SIGMOD 2010»
13 years 9 months ago
Expressive and flexible access to web-extracted data: a keyword-based structured query language
Automated extraction of structured data from Web sources often leads to large heterogeneous knowledge bases (KB), with data and schema items numbering in the hundreds of thousands...
Jeffrey Pound, Ihab F. Ilyas, Grant E. Weddell
WSDM
2009
ACM
191views Data Mining» more  WSDM 2009»
14 years 3 months ago
Generating labels from clicks
The ranking function used by search engines to order results is learned from labeled training data. Each training point is a (query, URL) pair that is labeled by a human judge who...
Rakesh Agrawal, Alan Halverson, Krishnaram Kenthap...