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» Comparing relevance feedback algorithms for web search
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CIKM
2010
Springer
13 years 6 months ago
Selectively diversifying web search results
Search result diversification is a natural approach for tackling ambiguous queries. Nevertheless, not all queries are equally ambiguous, and hence different queries could bene...
Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis
JUCS
2008
194views more  JUCS 2008»
13 years 7 months ago
An Application of Meta Search Agent System Based on Semantized Tags for Enhanced Web Searching
: Web searching techniques have been investigated and implemented in many aspects. Particularly, in case of personalization, more important issue is how to manipulate the results r...
Chonggun Kim, JaeYoun Jung, Hyeon-Cheol Zin, Jason...
ACMDIS
2008
ACM
13 years 10 months ago
Evaluating the effectiveness of term frequency histograms for supporting interactive web search tasks
Throughout many of the different types of Web searches people perform, the primary tasks are to first craft a query that effectively captures their information needs, and then eva...
Orland Hoeber, Xue Dong Yang
WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
12 years 3 months ago
Probabilistic models for personalizing web search
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
CIVR
2007
Springer
166views Image Analysis» more  CIVR 2007»
14 years 2 months ago
A content-based image retrieval scheme allowing for robust automatic personalization
The retrieval performance of content-based image retrieval (CBIR) systems is often disappointingly low, mainly due to the subjectivity of human perception. Relevance feedback (RF)...
Sotirios Chatzis, Anastasios D. Doulamis, Theodora...