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» Query Recommendation for Improving Search Engine Results
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CORR
2011
Springer
197views Education» more  CORR 2011»
14 years 6 months ago
Query Expansion Based on Clustered Results
Query expansion is a functionality of search engines that suggests a set of related queries for a user-issued keyword query. Typical corpus-driven keyword query expansion approach...
Ziyang Liu, Sivaramakrishnan Natarajan, Yi Chen
CIKM
2008
Springer
15 years 1 months ago
The query-flow graph: model and applications
Query logs record the queries and the actions of the users of search engines, and as such they contain valuable information about the interests, the preferences, and the behavior ...
Paolo Boldi, Francesco Bonchi, Carlos Castillo, De...

Publication
104views
15 years 9 months ago
Finding My Needle in the Haystack: Effective Personalized Re-ranking of Search Results in Prospector
Abstract. This paper provides an overview of Prospector, a personalized Internet meta-search engine, which utilizes a combination of ontological information, ratings-based models o...
Florian König, Lex van Velsen, Alexandros Par...
CLEF
2007
Springer
15 years 5 months ago
Using Pseudo-Relevance Feedback to Improve Image Retrieval Results
In this paper, we propose a pseudo-relevance feedback method to deal with the photographic retrieval and medical retrieval tasks of ImageCLEF 2007. The aim of our participation to...
Mouna Torjmen, Karen Pinel-Sauvagnat, Mohand Bough...
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
16 years 4 days ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims