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» Ranking Issues for Information Integration
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RIAO
2000
13 years 9 months ago
Allowing users to weight search terms
Informationretrieval systems typically weight the importance of search terms according to document and collection statistics (such as by using tf idf scores, where less commonterm...
Ronald Fagin, Yoëlle S. Maarek
SIGIR
2011
ACM
12 years 10 months ago
Learning to rank from a noisy crowd
We study how to best use crowdsourced relevance judgments learning to rank [1, 7]. We integrate two lines of prior work: unreliable crowd-based binary annotation for binary classi...
Abhimanu Kumar, Matthew Lease
VLDB
2007
ACM
132views Database» more  VLDB 2007»
14 years 1 months ago
EntityRank: Searching Entities Directly and Holistically
As the Web has evolved into a data-rich repository, with the standard “page view,” current search engines are becoming increasingly inadequate for a wide range of query tasks....
Tao Cheng, Xifeng Yan, Kevin Chen-Chuan Chang
CIKM
2009
Springer
14 years 2 months ago
P-Rank: a comprehensive structural similarity measure over information networks
With the ubiquity of information networks and their broad applications, the issue of similarity computation between entities of an information network arises and draws extensive r...
Peixiang Zhao, Jiawei Han, Yizhou Sun
SIGMOD
2007
ACM
160views Database» more  SIGMOD 2007»
14 years 8 months ago
Supporting ranking and clustering as generalized order-by and group-by
The Boolean semantics of SQL queries cannot adequately capture the "fuzzy" preferences and "soft" criteria required in non-traditional data retrieval applicati...
Chengkai Li, Min Wang, Lipyeow Lim, Haixun Wang, K...