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KDD
2009
ACM
248views Data Mining» more  KDD 2009»
15 years 11 months ago
PSkip: estimating relevance ranking quality from web search clickthrough data
1 In this article, we report our efforts in mining the information encoded as clickthrough data in the server logs to evaluate and monitor the relevance ranking quality of a commer...
Kuansan Wang, Toby Walker, Zijian Zheng
CIKM
2010
Springer
15 years 4 months ago
Building efficient multi-threaded search nodes
Search nodes are single-purpose components of large Web search engines and their efficient implementation is critical to sustain thousands of queries per second and guarantee indi...
Carolina Bonacic, Carlos García, Mauricio M...
CIKM
2010
Springer
15 years 5 months ago
Exploiting site-level information to improve web search
Ranking Web search results has long evolved beyond simple bag-of-words retrieval models. Modern search engines routinely employ machine learning ranking that relies on exogenous r...
Andrei Z. Broder, Evgeniy Gabrilovich, Vanja Josif...
ACL
2010
15 years 4 months ago
Wikipedia as Sense Inventory to Improve Diversity in Web Search Results
Is it possible to use sense inventories to improve Web search results diversity for one word queries? To answer this question, we focus on two broad-coverage lexical resources of ...
Celina Santamaría, Julio Gonzalo, Javier Ar...
226
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EMNLP
2010
15 years 4 months ago
Learning Recurrent Event Queries for Web Search
Recurrent event queries (REQ) constitute a special class of search queries occurring at regular, predictable time intervals. The freshness of documents ranked for such queries is ...
Ruiqiang Zhang, Yuki Konda, Anlei Dong, Pranam Kol...