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» Inductive Databases as Ranking
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CIKM
2009
Springer
15 years 7 months ago
Supervised semantic indexing
We present a class of models that are discriminatively trained to directly map from the word content in a query-document or documentdocument pair to a ranking score. Like Latent Se...
Bing Bai, Jason Weston, David Grangier, Ronan Coll...
CIDR
2007
155views Algorithms» more  CIDR 2007»
15 years 2 months ago
Object-level Vertical Search
Current web search engines essentially conduct document-level ranking and retrieval. However, structured information about realworld objects embedded in static webpages and online...
Zaiqing Nie, Ji-Rong Wen, Wei-Ying Ma
SCIENTOMETRICS
2010
122views more  SCIENTOMETRICS 2010»
14 years 11 months ago
A comparison of bibliometric indicators for computer science scholars and journals on Web of Science and Google Scholar
Abstract. Given the current availability of different bibliometric indicators and of production and citation data sources, the following two questions immediately arise: do the in...
Massimo Franceschet
120
Voted
WWW
2011
ACM
14 years 7 months ago
Factal: integrating deep web based on trust and relevance
We demonstrate Factal—a system for integrating deep web sources. Factal is based on the recently introduced source selection method SourceRank; which is a measure of trust and r...
Raju Balakrishnan, Subbarao Kambhampati
160
Voted
SIGMOD
2009
ACM
150views Database» more  SIGMOD 2009»
16 years 28 days ago
DBDOC: querying and browsing databases and interrelated documents
Large collections of documents are commonly created around a database, where a typical database schema may contain hundreds of tables and thousands of columns. We developed a syst...
Carlos Garcia-Alvarado, Carlos Ordonez, Zhibo Chen...