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» Ranking Retrieval Systems with Partial Relevance Judgements
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FQAS
2006
Springer
99views Database» more  FQAS 2006»
13 years 9 months ago
Using Structural Relationships for Focused XML Retrieval
In focused XML retrieval, information retrieval systems have to find out which are the most appropriate retrieval units and return only these to the user, avoiding overlapping elem...
Georgina Ramírez, Thijs Westerveld, Arjen P...
IR
2000
13 years 5 months ago
A Task-Oriented Non-Interactive Evaluation Methodology for Information Retrieval Systems
Past research has identified many different types of relevance in information retrieval (IR). So far, however, most evaluation of IR systems has been through batch experiments cond...
Jane Reid
VLDB
1990
ACM
116views Database» more  VLDB 1990»
13 years 9 months ago
A Probabilistic Framework for Vague Queries and Imprecise Information in Databases
A probabilistic learning model for vague queries and missing or imprecise information in databases is described. Instead of retrieving only a set of answers, our approach yields a...
Norbert Fuhr
ICTIR
2009
Springer
13 years 12 months ago
The Quantum Probability Ranking Principle for Information Retrieval
Abstract. While the Probability Ranking Principle for Information Retrieval provides the basis for formal models, it makes a very strong assumption regarding the dependence between...
Guido Zuccon, Leif Azzopardi, Keith van Rijsbergen
TREC
2008
13 years 6 months ago
Extending Relevance Model for Relevance Feedback
Relevance feedback is the retrieval task where the system is given not only an information need, but also some relevance judgement information, usually from users' feedback f...
Le Zhao, Chenmin Liang, Jamie Callan