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» Optimizing search engines using clickthrough data
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WWW
2011
ACM
13 years 3 months ago
Learning to re-rank: query-dependent image re-ranking using click data
Our objective is to improve the performance of keyword based image search engines by re-ranking their baseline results. To this end, we address three limitations of existing searc...
Vidit Jain, Manik Varma
WEBDB
2007
Springer
159views Database» more  WEBDB 2007»
14 years 2 months ago
A clustering-based sampling approach for refreshing search engine's database
Due to resource constraints, search engines usually have difficulties keeping the local database completely synchronized with the Web. To detect as many changes as possible, the ...
Qingzhao Tan, Ziming Zhuang, Prasenjit Mitra, C. L...
CEC
2007
IEEE
14 years 3 months ago
Light beam search based multi-objective optimization using evolutionary algorithms
Abstract— For the past decade or so, evolutionary multiobjective optimization (EMO) methodologies have earned wide popularity for solving complex practical optimization problems,...
Kalyanmoy Deb, Abhay Kumar
ERCIMDL
1999
Springer
117views Education» more  ERCIMDL 1999»
14 years 1 months ago
Predicting Indexer Performance in a Distributed Digital Library
Resource discovery in a distributed digital library poses many challenges, one of which is how to choose search engines for query distribution, given a query and a set of search e...
Naomi Dushay, James C. French, Carl Lagoze
CIVR
2007
Springer
128views Image Analysis» more  CIVR 2007»
14 years 3 months ago
3D-Model search engine from photos
In this paper, we present the FOX-MIIRE 3D-Model Search Engine. Our search engine is based on Adaptive Views Vlustering (AVC) algorithm [4]. The AVC method uses statistical model ...
Tarik Filali Ansary, Jean-Philippe Vandeborre, Moh...