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CIKM
2009
Springer
15 years 11 months ago
Semi-supervised learning of semantic classes for query understanding: from the web and for the web
Understanding intents from search queries can improve a user’s search experience and boost a site’s advertising profits. Query tagging via statistical sequential labeling mode...
Ye-Yi Wang, Raphael Hoffmann, Xiao Li, Jakub Szyma...
SIGMOD
2012
ACM
234views Database» more  SIGMOD 2012»
13 years 6 months ago
SOFIA SEARCH: a tool for automating related-work search
When working on a new project, researchers need to devote a significant amount of time and effort to surveying the relevant literature. This is required in order to gain experti...
Behzad Golshan, Theodoros Lappas, Evimaria Terzi
WWW
2004
ACM
16 years 5 months ago
A hybrid approach for searching in the semantic web
This paper presents a search architecture that combines classical search techniques with spread activation techniques applied to a semantic model of a given domain. Given an ontol...
Cristiano Rocha, Daniel Schwabe, Marcus Poggi de A...
WWW
2005
ACM
16 years 5 months ago
Comparing relevance feedback algorithms for web search
We evaluate three different relevance feedback (RF) algorithms, Rocchio, Robertson/Sparck-Jones (RSJ) and Bayesian, in the context of Web search. We use a target-testing experimen...
Vishwa Vinay, Kenneth R. Wood, Natasa Milic-Frayli...
WWW
2009
ACM
16 years 5 months ago
A dynamic bayesian network click model for web search ranking
As with any application of machine learning, web search ranking requires labeled data. The labels usually come in the form of relevance assessments made by editors. Click logs can...
Olivier Chapelle, Ya Zhang