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» Evaluating strategies for similarity search on the web
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WWW
2008
ACM
15 years 10 months ago
Online learning from click data for sponsored search
Sponsored search is one of the enabling technologies for today's Web search engines. It corresponds to matching and showing ads related to the user query on the search engine...
Massimiliano Ciaramita, Vanessa Murdock, Vassilis ...
90
Voted
TKDE
2008
231views more  TKDE 2008»
14 years 9 months ago
Personalized Concept-Based Clustering of Search Engine Queries
A major problem of current Web search is that search queries are usually short and ambiguous, and thus are insufficient for specifying the precise user needs. To alleviate this pro...
Kenneth Wai-Ting Leung, Wilfred Ng, Dik Lun Lee
SIGIR
2012
ACM
13 years 4 days ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
56
Voted
CLEF
2010
Springer
14 years 10 months ago
Building Strategies, a Year Later
Abstract. After participating in last year's CLEF IP (2009) evaluation benchmark, our scores were rather low. The CLEF IP 2010 PAC task enabled us to correct some experiments ...
Wouter Alink, Roberto Cornacchia, Arjen P. de Vrie...
WWW
2008
ACM
15 years 10 months ago
Cm-pmi: improved web-based association measure with contextual label matching
WebPMI is a popular web-based association measure to evaluate the semantic similarity between two queries (i.e. words or entities) by leveraging search results returned by search ...
Xiaojun Wan