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SAC
2006
ACM
15 years 7 months ago
Relevance feedback methods for logo and trademark image retrieval on the web
Relevance feedback is the state-of-the-art approach for adjusting query results to the needs of the users. This work extends the existing framework of image retrieval with relevan...
Euripides G. M. Petrakis, Klaydios Kontis, Epimeni...
SIGIR
2012
ACM
13 years 4 months ago
An exploration of ranking heuristics in mobile local search
Users increasingly rely on their mobile devices to search local entities, typically businesses, while on the go. Even though recent work has recognized that the ranking signals in...
Yuanhua Lv, Dimitrios Lymberopoulos, Qiang Wu
SIGIR
2002
ACM
15 years 1 months ago
Finding relevant documents using top ranking sentences: an evaluation of two alternative schemes
In this paper we present an evaluation of techniques that are designed to encourage web searchers to interact more with the results of a web search. Two specific techniques are ex...
Ryen White, Ian Ruthven, Joemon M. Jose
AI
2007
Springer
15 years 8 months ago
Learning the Semantic Meaning of a Concept from the Web
Many researchers have used text classification method in solving the ontology mapping problem. Their mapping results heavily depend on the availability of quality exemplars used as...
Yang Yu, Yun Peng
WWW
2005
ACM
16 years 2 months ago
Scaling link-based similarity search
To exploit the similarity information hidden in the hyperlink structure of the web, this paper introduces algorithms scalable to graphs with billions of vertices on a distributed ...
Balázs Rácz, Dániel Fogaras