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ICMCS
2006
IEEE
110views Multimedia» more  ICMCS 2006»
15 years 8 months ago
Multimedia indexing and fast retrieval based on a vote system
We present a new system, called Retimm, for searching databases made of documents containing images and text. Images are indexed by colour and texture distributions.. Colour and t...
Sylvie Philipp-Foliguet, Guillaume Logerot, Patric...
WWW
2005
ACM
16 years 2 months ago
Ranking definitions with supervised learning methods
This paper is concerned with the problem of definition search. Specifically, given a term, we are to retrieve definitional excerpts of the term and rank the extracted excerpts acc...
Jun Xu, Yunbo Cao, Hang Li, Min Zhao
ECIR
2010
Springer
14 years 12 months ago
Query Aspect Based Term Weighting Regularization in Information Retrieval
Abstract. Traditional retrieval models assume that query terms are independent and rank documents primarily based on various term weighting strategies including TF-IDF and document...
Wei Zheng, Hui Fang
WWW
2008
ACM
16 years 2 months ago
Learning to rank relational objects and its application to web search
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
ECIR
2009
Springer
15 years 11 months ago
Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve
Abstract. Learning ranking functions is crucial for solving many problems, ranging from document retrieval to building recommendation systems based on an individual user’s prefer...
Pinar Donmez, Jaime G. Carbonell