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» Maximum Margin Ranking Algorithms for Information Retrieval
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IPM
2008
100views more  IPM 2008»
13 years 7 months ago
Query-level loss functions for information retrieval
Many machine learning technologies such as support vector machines, boosting, and neural networks have been applied to the ranking problem in information retrieval. However, since...
Tao Qin, Xu-Dong Zhang, Ming-Feng Tsai, De-Sheng W...
ESWS
2006
Springer
13 years 11 months ago
Information Retrieval in Folksonomies: Search and Ranking
Abstract. Social bookmark tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. The reason for their im...
Andreas Hotho, Robert Jäschke, Christoph Schm...
ECIR
2008
Springer
13 years 9 months ago
Applying Maximum Entropy to Known-Item Email Retrieval
It is becoming increasingly common in information retrieval to combine evidence from multiple resources to compute the retrieval status value of documents. Although this has led to...
Sirvan Yahyaei, Christof Monz
GIR
2006
ACM
14 years 1 months ago
Relevance Ranking for Geographic IR
In this paper, we introduce a geographic similarity operator that computes the relatedness between two geographic places and describe how it is combined with textual ranking. The ...
Leonardo Andrade, Mário J. Silva
IR
2010
13 years 6 months ago
LETOR: A benchmark collection for research on learning to rank for information retrieval
LETOR is a benchmark collection for the research on learning to rank for information retrieval, released by Microsoft Research Asia. In this paper, we describe the details of the L...
Tao Qin, Tie-Yan Liu, Jun Xu, Hang Li