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

9783642044168, 9783642044175

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Prior Information and the Determination of Event Spaces in Probabilistic Information Retrieval Models

Lecture Notes in Computer Science - Advances in Information Retrieval Theory ◽

10.1007/978-3-642-04417-5_24 ◽

2009 ◽

pp. 257-264

Author(s):

Corrado Boscarino ◽

Arjen P. de Vries

Keyword(s):

Information Retrieval ◽

Prior Information ◽

Retrieval Models ◽

Probabilistic Information

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Predicting the Usefulness of Collection Enrichment for Enterprise Search

Lecture Notes in Computer Science - Advances in Information Retrieval Theory ◽

10.1007/978-3-642-04417-5_41 ◽

2009 ◽

pp. 366-370 ◽

Cited By ~ 3

Author(s):

Jie Peng ◽

Ben He ◽

Iadh Ounis

Keyword(s):

Enterprise Search

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On the Notion of “An Information Need”

Lecture Notes in Computer Science - Advances in Information Retrieval Theory ◽

10.1007/978-3-642-04417-5_38 ◽

2009 ◽

pp. 354-357 ◽

Cited By ~ 2

Author(s):

Eduard Hoenkamp

Keyword(s):

Information Need

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A Quantum-Based Model for Interactive Information Retrieval

Lecture Notes in Computer Science - Advances in Information Retrieval Theory ◽

10.1007/978-3-642-04417-5_20 ◽

2009 ◽

pp. 224-231 ◽

Cited By ~ 12

Author(s):

Benjamin Piwowarski ◽

Mounia Lalmas

Keyword(s):

Information Retrieval ◽

Interactive Information Retrieval

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Probably Approximately Correct Search

Lecture Notes in Computer Science - Advances in Information Retrieval Theory ◽

10.1007/978-3-642-04417-5_2 ◽

2009 ◽

pp. 2-16 ◽

Cited By ~ 8

Author(s):

Ingemar J. Cox ◽

Ruoxun Fu ◽

Lars Kai Hansen

Keyword(s):

Probably Approximately Correct

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An Analysis of NP-Completeness in Novelty and Diversity Ranking

Lecture Notes in Computer Science - Advances in Information Retrieval Theory ◽

10.1007/978-3-642-04417-5_18 ◽

2009 ◽

pp. 200-211 ◽

Cited By ~ 11

Author(s):

Ben Carterette

Keyword(s):

Np Completeness

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Navigating in the Dark: Modeling Uncertainty in Ad Hoc Retrieval Using Multiple Relevance Models

Lecture Notes in Computer Science - Advances in Information Retrieval Theory ◽

10.1007/978-3-642-04417-5_8 ◽

2009 ◽

pp. 79-91 ◽

Cited By ~ 7

Author(s):

Natali Soskin ◽

Oren Kurland ◽

Carmel Domshlak

Keyword(s):

Ad Hoc ◽

Modeling Uncertainty ◽

Ad Hoc Retrieval ◽

Relevance Models

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What’s in a Link? From Document Importance to Topical Relevance

Lecture Notes in Computer Science - Advances in Information Retrieval Theory ◽

10.1007/978-3-642-04417-5_31 ◽

2009 ◽

pp. 313-321 ◽

Cited By ~ 3

Author(s):

Marijn Koolen ◽

Jaap Kamps

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Predicting Query Performance by Query-Drift Estimation

Lecture Notes in Computer Science - Advances in Information Retrieval Theory ◽

10.1007/978-3-642-04417-5_30 ◽

2009 ◽

pp. 305-312 ◽

Cited By ~ 31

Author(s):

Anna Shtok ◽

Oren Kurland ◽

David Carmel

Keyword(s):

Query Performance ◽

Drift Estimation

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What Happened to Content-Based Information Filtering?

Lecture Notes in Computer Science - Advances in Information Retrieval Theory ◽

10.1007/978-3-642-04417-5_23 ◽

2009 ◽

pp. 249-256 ◽

Cited By ~ 5

Author(s):

Nikolaos Nanas ◽

Anne De Roeck ◽

Manolis Vavalis

Keyword(s):

Information Filtering

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

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Prior Information and the Determination of Event Spaces in Probabilistic Information Retrieval Models

Predicting the Usefulness of Collection Enrichment for Enterprise Search

On the Notion of “An Information Need”

A Quantum-Based Model for Interactive Information Retrieval

Probably Approximately Correct Search

An Analysis of NP-Completeness in Novelty and Diversity Ranking

Navigating in the Dark: Modeling Uncertainty in Ad Hoc Retrieval Using Multiple Relevance Models

What’s in a Link? From Document Importance to Topical Relevance

Predicting Query Performance by Query-Drift Estimation

What Happened to Content-Based Information Filtering?

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