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» Multimedia Retrieval Algorithmics
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CIKM
2009
Springer
15 years 10 months ago
Feature selection for ranking using boosted trees
Modern search engines have to be fast to satisfy users, so there are hard back-end latency requirements. The set of features useful for search ranking functions, though, continues...
Feng Pan, Tim Converse, David Ahn, Franco Salvetti...
129
Voted
RECSYS
2009
ACM
15 years 10 months ago
Conceptual recommender system for CiteSeerX
Short search engine queries do not provide contextual information, making it difficult for traditional search engines to understand what users are really requesting. One approach ...
Ajith Kodakateri Pudhiyaveetil, Susan Gauch, Hiep ...
123
Voted
SIGIR
2009
ACM
15 years 10 months ago
Entropy-biased models for query representation on the click graph
Query log analysis has received substantial attention in recent years, in which the click graph is an important technique for describing the relationship between queries and URLs....
Hongbo Deng, Irwin King, Michael R. Lyu
143
Voted
SIGIR
2009
ACM
15 years 10 months ago
Extracting structured information from user queries with semi-supervised conditional random fields
When search is against structured documents, it is beneficial to extract information from user queries in a format that is consistent with the backend data structure. As one step...
Xiao Li, Ye-Yi Wang, Alex Acero
139
Voted
CIKM
2007
Springer
15 years 9 months ago
Predictive user click models based on click-through history
Web search engines consistently collect information about users interaction with the system: they record the query they issued, the URL of presented and selected documents along w...
Benjamin Piwowarski, Hugo Zaragoza