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» Maximum Margin Ranking Algorithms for Information Retrieval
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SIGIR
2009
ACM
14 years 2 months ago
Portfolio theory of information retrieval
This paper studies document ranking under uncertainty. It is tackled in a general situation where the relevance predictions of individual documents have uncertainty, and are depen...
Jun Wang, Jianhan Zhu
ECML
2007
Springer
14 years 1 months ago
An Unsupervised Learning Algorithm for Rank Aggregation
Many applications in information retrieval, natural language processing, data mining, and related fields require a ranking of instances with respect to a specified criteria as op...
Alexandre Klementiev, Dan Roth, Kevin Small
SEMWEB
2005
Springer
14 years 1 months ago
The Fuzzy Description Logic f-SHIN
Abstract. In the Semantic Web information would be retrieved, processed, combined, shared and reused in the maximum automatic way possible. Obviously, such procedures involve a hig...
Giorgos Stoilos, Giorgos B. Stamou, Vassilis Tzouv...
SIGIR
1998
ACM
13 years 11 months ago
The Use of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries
Abstract This paper presents a method for combining query-relevance with information-novelty in the context of text retrieval and summarization. The Maximal Marginal Relevance (MMR...
Jaime G. Carbonell, Jade Goldstein
CIKM
2009
Springer
14 years 2 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