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» Ranking Query Results using Context-Aware Preferences
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CIKM
2010
Springer
13 years 8 months ago
Web search solved?: all result rankings the same?
The objective of this work is to derive quantitative statements about what fraction of web search queries issued to the state-of-the-art commercial search engines lead to excellen...
Hugo Zaragoza, Berkant Barla Cambazoglu, Ricardo A...
ESWA
2008
127views more  ESWA 2008»
13 years 10 months ago
A two-level relevance feedback mechanism for image retrieval
Content-based image retrieval (CBIR) is a group of techniques that analyzes the visual features (such as color, shape, texture) of an example image or image subregion to find simi...
Pei-Cheng Cheng, Been-Chian Chien, Hao-Ren Ke, Wei...
CIKM
2009
Springer
14 years 4 months ago
Post-rank reordering: resolving preference misalignments between search engines and end users
No search engine is perfect. A typical type of imperfection is the preference misalignment between search engines and end users, e.g., from time to time, web users skip higherrank...
Chao Liu, Mei Li, Yi-Min Wang
ECIR
2010
Springer
13 years 11 months ago
Explicit Search Result Diversification through Sub-queries
Queries submitted to a retrieval system are often ambiguous. In such a situation, a sensible strategy is to diversify the ranking of results to be retrieved, in the hope that users...
Rodrygo L. T. Santos, Jie Peng, Craig Macdonald, I...
PRICAI
2010
Springer
13 years 8 months ago
Exploiting Symmetry in Relational Similarity for Ranking Relational Search Results
Relational search is a novel paradigm of search which focuses on the similarity between semantic relations. Given three words (A, B, C) as the query, a relational search engine ret...
Tomokazu Goto, Nguyen Tuan Duc, Danushka Bollegala...