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SIGIR
2009
ACM
16 years 18 days ago
Risky business: modeling and exploiting uncertainty in information retrieval
Most retrieval models estimate the relevance of each document to a query and rank the documents accordingly. However, such an approach ignores the uncertainty associated with the ...
Jianhan Zhu, Jun Wang, Ingemar J. Cox, Michael J. ...
IJCAI
1997
15 years 7 months ago
Toward Structured Retrieval in Semi-structured Information Spaces
A semi-structured information space consists of multiple collections of textual documents containing fielded or tagged sections. The space can be highly heterogeneous, because eac...
Scott B. Huffman, Catherine Baudin
162
Voted
VLDB
1990
ACM
116views Database» more  VLDB 1990»
15 years 10 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
CRYPTO
2000
Springer
157views Cryptology» more  CRYPTO 2000»
15 years 10 months ago
Reducing the Servers Computation in Private Information Retrieval: PIR with Preprocessing
Private information retrieval (PIR) enables a user to retrieve a data item from a database, replicated among one or more servers, while hiding the identity of the retrieved item. ...
Amos Beimel, Yuval Ishai, Tal Malkin
TREC
2007
15 years 7 months ago
Using IR-n for Information Retrieval of Genomics Track
Nowadays there is a big amount of biomedical literature which uses complex nouns and acronyms of biological entities thus complicating the task of retrieval specific information....
María Pardiño, Rafael M. Terol, Patr...