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» Combining Candidate and Document Models for Expert Search
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SIGIR
2009
ACM
15 years 4 months ago
Reciprocal rank fusion outperforms condorcet and individual rank learning methods
Reciprocal Rank Fusion (RRF), a simple method for combining the document rankings from multiple IR systems, consistently yields better results than any individual system, and bett...
Gordon V. Cormack, Charles L. A. Clarke, Stefan B&...
ISMIS
2003
Springer
15 years 3 months ago
NETMARK: A Schema-Less Extension for Relational Databases for Managing Semi-structured Data Dynamically
Object-Relational database management system is an integrated hybrid cooperative approach to combine the best practices of both the relational model utilizing SQL queries and the ...
David A. Maluf, Peter B. Tran
SIGIR
2010
ACM
15 years 1 months ago
Estimation of statistical translation models based on mutual information for ad hoc information retrieval
As a principled approach to capturing semantic relations of words in information retrieval, statistical translation models have been shown to outperform simple document language m...
Maryam Karimzadehgan, ChengXiang Zhai
ICDE
2007
IEEE
125views Database» more  ICDE 2007»
15 years 4 months ago
Analyses and Fundamental ideas for a Relation Extraction Approach
Relation extraction is a difficult open research problem with important applications in several fields such as knowledge management, web mining, ontology building, intelligent sys...
Lobna Karoui, Marie-Aude Aufaure, Nacéra Be...
SIGIR
2009
ACM
15 years 4 months ago
Learning to rank for quantity consensus queries
Web search is increasingly exploiting named entities like persons, places, businesses, addresses and dates. Entity ranking is also of current interest at INEX and TREC. Numerical ...
Somnath Banerjee, Soumen Chakrabarti, Ganesh Ramak...