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» Maximum Margin Ranking Algorithms for Information Retrieval
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TREC
1998
13 years 9 months ago
BBN at TREC7: Using Hidden Markov Models for Information Retrieval
We present a new method for information retrieval using hidden Markov models HMMs and relate our experience with this system on the TREC-7 ad hoc task. We develop a general framew...
David R. H. Miller, Tim Leek, Richard M. Schwartz
KBSE
2007
IEEE
14 years 1 months ago
Feature location via information retrieval based filtering of a single scenario execution trace
The paper presents a semi-automated technique for feature location in source code. The technique is based on combining information from two different sources: an execution trace, ...
Dapeng Liu, Andrian Marcus, Denys Poshyvanyk, Vacl...
CIKM
2010
Springer
13 years 5 months ago
Computing the top-k maximal answers in a join of ranked lists
Complex search tasks that utilize information from several data sources, are answered by integrating the results of distinct basic search queries. In such integration, each basic ...
Mirit Shalem, Yaron Kanza
TREC
2007
13 years 8 months ago
UIC at TREC 2007 Blog Track
In TREC 2007 Blog Track, we developed a three-step algorithm for the opinion retrieval task. An information retrieval step retrieves the query-relevant documents. A following opin...
Wei Zhang, Clement T. Yu
CIKM
2004
Springer
14 years 1 months ago
Local methods for estimating pagerank values
The Google search engine uses a method called PageRank, together with term-based and other ranking techniques, to order search results returned to the user. PageRank uses link ana...
Yen-Yu Chen, Qingqing Gan, Torsten Suel