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» Predicting query reformulation during web searching
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CIKM
2010
Springer
13 years 6 months ago
Utilizing re-finding for personalized information retrieval
Individuals often use search engines to return to web pages they have previously visited. This behaviour, called refinding, accounts for about 38% of all queries. While researcher...
Sarah K. Tyler, Jian Wang, Yi Zhang 0001
SIGMOD
2006
ACM
232views Database» more  SIGMOD 2006»
14 years 8 months ago
To search or to crawl?: towards a query optimizer for text-centric tasks
Text is ubiquitous and, not surprisingly, many important applications rely on textual data for a variety of tasks. As a notable example, information extraction applications derive...
Panagiotis G. Ipeirotis, Eugene Agichtein, Pranay ...
NIPS
2007
13 years 10 months ago
Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks
We propose a model that leverages the millions of clicks received by web search engines to predict document relevance. This allows the comparison of ranking functions when clicks ...
Ben Carterette, Rosie Jones
IV
2009
IEEE
185views Visualization» more  IV 2009»
14 years 3 months ago
Real-World User Evaluations of a Visual and Interactive Web Search Interface
Although laboratory user studies are the most common method for validating the utility of information visualization systems, it may be difficult to determine if such studies accu...
Orland Hoeber, Daniel Schroeder, Michael Brooks
JODS
2006
206views Data Mining» more  JODS 2006»
13 years 8 months ago
Emergent Semantics in Knowledge Sifter: An Evolutionary Search Agent Based on Semantic Web Services
This paper addresses the various facets of emergent semantics in content retrieval systems such as Knowledge Sifter, an architecture and system based on the use of specialized agen...
Larry Kerschberg, Hanjo Jeong, Wooju Kim