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ICML
2009
IEEE
16 years 5 months ago
BoltzRank: learning to maximize expected ranking gain
Ranking a set of retrieved documents according to their relevance to a query is a popular problem in information retrieval. Methods that learn ranking functions are difficult to o...
Maksims Volkovs, Richard S. Zemel
SIGSOFT
2009
ACM
16 years 5 months ago
Engineering search computing applications: vision and challenges
Search computing is a novel discipline whose goal is to answer complex, multi-domain queries. Such queries typically require combining in their results domain knowledge extracted ...
Marco Brambilla, Stefano Ceri
WWW
2008
ACM
16 years 5 months ago
Application of bitmap index to information retrieval
To solve this problem, we devised the HS-bitmap index, which is hierarchically comprised of compressed data of summary bits. A summary bit in an upper matrix is obtained by logical...
Kengo Fujioka, Yukio Uematsu, Makoto Onizuka
WWW
2008
ACM
16 years 5 months ago
Genealogical trees on the web: a search engine user perspective
This paper presents an extensive study about the evolution of textual content on the Web, which shows how some new pages are created from scratch while others are created using al...
Ricardo A. Baeza-Yates, Álvaro R. Pereira J...
WWW
2007
ACM
16 years 5 months ago
A mobile application framework for the geospatial web
In this paper we present an application framework that leverages geospatial content on the World Wide Web by enabling innovative modes of interaction and novel types of user inter...
Peter Fröhlich, Rainer Simon
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