Lecture Notes in Computer Science - Advances in Information Retrieval
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Published By Springer Berlin Heidelberg

9783540714941, 9783540714965

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Static Pruning of Terms in Inverted Files

Lecture Notes in Computer Science - Advances in Information Retrieval ◽

10.1007/978-3-540-71496-5_9 ◽

2007 ◽

pp. 64-75 ◽

Cited By ~ 9

Author(s):

Roi Blanco ◽

Álvaro Barreiro

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Summarisation and Novelty: An Experimental Investigation

Lecture Notes in Computer Science - Advances in Information Retrieval ◽

10.1007/978-3-540-71496-5_83 ◽

2007 ◽

pp. 745-748

Author(s):

Simon Sweeney ◽

Fabio Crestani ◽

David E. Losada

Keyword(s):

Experimental Investigation

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Overall Comparison at the Standard Levels of Recall of Multiple Retrieval Methods with the Friedman Test

Lecture Notes in Computer Science - Advances in Information Retrieval ◽

10.1007/978-3-540-71496-5_68 ◽

2007 ◽

pp. 682-685

Author(s):

José M. Casanova ◽

Manuel A. Presedo Quindimil ◽

Álvaro Barreiro

Keyword(s):

Friedman Test

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Ad Hoc Retrieval of Documents with Topical Opinion

Lecture Notes in Computer Science - Advances in Information Retrieval ◽

10.1007/978-3-540-71496-5_37 ◽

2007 ◽

pp. 405-417 ◽

Cited By ~ 5

Author(s):

Jason Skomorowski ◽

Olga Vechtomova

Keyword(s):

Ad Hoc ◽

Ad Hoc Retrieval

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Fast Large-Scale Spectral Clustering by Sequential Shrinkage Optimization

Lecture Notes in Computer Science - Advances in Information Retrieval ◽

10.1007/978-3-540-71496-5_30 ◽

2007 ◽

pp. 319-330 ◽

Cited By ~ 5

Author(s):

Tie-Yan Liu ◽

Huai-Yuan Yang ◽

Xin Zheng ◽

Tao Qin ◽

Wei-Ying Ma

Keyword(s):

Spectral Clustering ◽

Large Scale

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Query Reformulation and Refinement Using NLP-Based Sentence Clustering

Lecture Notes in Computer Science - Advances in Information Retrieval ◽

10.1007/978-3-540-71496-5_21 ◽

2007 ◽

pp. 210-221 ◽

Cited By ~ 3

Author(s):

Frédéric Roulland ◽

Aaron Kaplan ◽

Stefania Castellani ◽

Claude Roux ◽

Antonietta Grasso ◽

...

Keyword(s):

Query Reformulation ◽

Sentence Clustering

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Central-Rank-Based Collection Selection in Uncooperative Distributed Information Retrieval

Lecture Notes in Computer Science - Advances in Information Retrieval ◽

10.1007/978-3-540-71496-5_17 ◽

2007 ◽

pp. 160-172 ◽

Cited By ~ 35

Author(s):

Milad Shokouhi

Keyword(s):

Information Retrieval ◽

Distributed Information ◽

Distributed Information Retrieval ◽

Collection Selection

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Efficient Construction of FM-index Using Overlapping Block Processing for Large Scale Texts

Lecture Notes in Computer Science - Advances in Information Retrieval ◽

10.1007/978-3-540-71496-5_13 ◽

2007 ◽

pp. 113-123 ◽

Cited By ~ 1

Author(s):

Di Zhang ◽

Yunquan Zhang ◽

Jing Chen

Keyword(s):

Large Scale ◽

Block Processing ◽

Efficient Construction

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Improving Naive Bayes Text Classifier Using Smoothing Methods

Lecture Notes in Computer Science - Advances in Information Retrieval ◽

10.1007/978-3-540-71496-5_73 ◽

2007 ◽

pp. 703-707 ◽

Cited By ~ 8

Author(s):

Feng He ◽

Xiaoqing Ding

Keyword(s):

Naive Bayes ◽

Naïve Bayes ◽

Smoothing Methods

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Probabilistic Models for Expert Finding

Lecture Notes in Computer Science - Advances in Information Retrieval ◽

10.1007/978-3-540-71496-5_38 ◽

2007 ◽

pp. 418-430 ◽

Cited By ~ 80

Author(s):

Hui Fang ◽

ChengXiang Zhai

Keyword(s):

Probabilistic Models ◽

Expert Finding

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Lecture Notes in Computer Science - Advances in Information RetrievalLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Static Pruning of Terms in Inverted Files

Summarisation and Novelty: An Experimental Investigation

Overall Comparison at the Standard Levels of Recall of Multiple Retrieval Methods with the Friedman Test

Ad Hoc Retrieval of Documents with Topical Opinion

Fast Large-Scale Spectral Clustering by Sequential Shrinkage Optimization

Query Reformulation and Refinement Using NLP-Based Sentence Clustering

Central-Rank-Based Collection Selection in Uncooperative Distributed Information Retrieval

Efficient Construction of FM-index Using Overlapping Block Processing for Large Scale Texts

Improving Naive Bayes Text Classifier Using Smoothing Methods

Probabilistic Models for Expert Finding

Lecture Notes in Computer Science - Advances in Information Retrieval
Latest Publications