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CIKM
2009
Springer
14 years 5 months ago
Learning to rank from Bayesian decision inference
Ranking is a key problem in many information retrieval (IR) applications, such as document retrieval and collaborative filtering. In this paper, we address the issue of learning ...
Jen-Wei Kuo, Pu-Jen Cheng, Hsin-Min Wang
CIKM
2001
Springer
14 years 3 months ago
Merging Techniques for Performing Data Fusion on the Web
Data fusion on the Web refers to the merging, into a unified single list, of the ranked document lists, which are retrieved in response to a user query by more than one Web search...
Theodora Tsikrika, Mounia Lalmas
CLEF
2005
Springer
14 years 4 months ago
CUHK at ImageCLEF 2005: Cross-Language and Cross-Media Image Retrieval
In this paper, we describe our studies of cross-language and cross-media image retrieval at the ImageCLEF 2005. This is the first participation of our CUHK (The Chinese University...
Steven C. H. Hoi, Jianke Zhu, Michael R. Lyu
SIGIR
2006
ACM
14 years 4 months ago
Adapting ranking SVM to document retrieval
The paper is concerned with applying learning to rank to document retrieval. Ranking SVM is a typical method of learning to rank. We point out that there are two factors one must ...
Yunbo Cao, Jun Xu, Tie-Yan Liu, Hang Li, Yalou Hua...
MIR
2005
ACM
129views Multimedia» more  MIR 2005»
14 years 4 months ago
Multi-graph enabled active learning for multimodal web image retrieval
In this paper, we propose a multimodal Web image retrieval technique based on multi-graph enabled active learning. The main goal is to leverage the heterogeneous data on the Web t...
Xin-Jing Wang, Wei-Ying Ma, Lei Zhang, Xing Li