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» Maximum Margin Ranking Algorithms for Information Retrieval
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SIGIR
2009
ACM
14 years 2 months ago
Incorporating prior knowledge into a transductive ranking algorithm for multi-document summarization
This paper presents a transductive approach to learn ranking functions for extractive multi-document summarization. At the first stage, the proposed approach identifies topic th...
Massih-Reza Amini, Nicolas Usunier
SIGIR
2011
ACM
12 years 10 months ago
Active learning to maximize accuracy vs. effort in interactive information retrieval
We consider an interactive information retrieval task in which the user is interested in finding several to many relevant documents with minimal effort. Given an initial documen...
Aibo Tian, Matthew Lease
AACC
2004
Springer
14 years 1 months ago
Mining Top - k Ranked Webpages Using Simulated Annealing and Genetic Algorithms
Searching on the Internet has grown in importance over the last few years, as huge amount of information is invariably accumulated on the Web. The problem involves locating the des...
P. Deepa Shenoy, K. G. Srinivasa, Achint Oommen Th...
SIGIR
2011
ACM
12 years 10 months ago
Time-based query performance predictors
Query performance prediction is aimed at predicting the retrieval effectiveness that a query will achieve with respect to a particular ranking model. In this paper, we study quer...
Nattiya Kanhabua, Kjetil Nørvåg
WWW
2005
ACM
14 years 8 months ago
On the feasibility of low-rank approximation for personalized PageRank
Personalized PageRank expresses backlink-based page quality around user-selected pages in a similar way to PageRank over the entire Web. Algorithms for computing personalized Page...
András A. Benczúr, Károly Csa...