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RIAO
2000
13 years 6 months ago
Allowing users to weight search terms
Informationretrieval systems typically weight the importance of search terms according to document and collection statistics (such as by using tf idf scores, where less commonterm...
Ronald Fagin, Yoëlle S. Maarek
VISUAL
1999
Springer
13 years 9 months ago
Relevance Feedback and Term Weighting Schemes for Content-Based Image Retrieval
This paper describes the application of techniques derived from text retrieval research to the content-based querying of image databases. Speci cally, the use of inverted les, fre...
David Squire, Wolfgang Müller 0002, Henning M...
GECCO
2009
Springer
156views Optimization» more  GECCO 2009»
13 years 11 months ago
Articulating user preferences in many-objective problems by sampling the weighted hypervolume
The hypervolume indicator has become popular in recent years both for performance assessment and to guide the search of evolutionary multiobjective optimizers. Two critical resear...
Anne Auger, Johannes Bader, Dimo Brockhoff, Eckart...
CIVR
2007
Springer
166views Image Analysis» more  CIVR 2007»
13 years 11 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...
ICIS
2000
13 years 6 months ago
Personalization of search engine services for effective retrieval and knowledge management
The Internet and corporate intranets provide far more information than anybody can absorb. People use search engines to find the information they require. However, these systems t...
Weiguo Fan, Michael D. Gordon, Praveen Pathak