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Advances in Information Retrieval
Using the Quantum Probability Ranking Principle to Rank Interdependent Documents
other
Author(s):
Guido Zuccon
,
Leif Azzopardi
Publication date
(Print):
2010
Publisher:
Springer Berlin Heidelberg
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Genome Engineering using CRISPR
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The use of MMR, diversity-based reranking for reordering documents and producing summaries
Jaime Carbonell
,
Jade Goldstein
(1998)
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THE PROBABILITY RANKING PRINCIPLE IN IR
S.E. ROBERTSON
(1977)
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Diversifying search results
Rakesh Agrawal
,
Sreenivas Gollapudi
,
Alan Halverson
…
(2009)
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Book Chapter
Publication date (Print):
2010
Pages
: 357-369
DOI:
10.1007/978-3-642-12275-0_32
SO-VID:
1f4e9afe-f9f4-412c-ab7c-9c05b6dd515b
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Book chapters
pp. 50
Improving Medical Information Retrieval with PICO Element Detection
pp. 13
A Language Modeling Approach for Temporal Information Needs
pp. 382
A Performance Prediction Approach to Enhance Collaborative Filtering Performance
pp. 87
Explicit Search Result Diversification through Sub-queries
pp. 191
News Comments:Exploring, Modeling, and Online Prediction
pp. 357
Using the Quantum Probability Ranking Principle to Rank Interdependent Documents
pp. 420
Personalizing Web Search with Folksonomy-Based User and Document Profiles
pp. 611
A Comparison of Language Identification Approaches on Short, Query-Style Texts
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