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ICML
2009
IEEE
16 years 7 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 7 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 7 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
2006
ACM
16 years 7 months ago
Generating summaries for large collections of geo-referenced photographs
We describe a framework for automatically selecting a summary set of photographs from a large collection of geo-referenced photos. The summary algorithm is based on spatial patter...
Alexander Jaffe, Mor Naaman, Tamir Tassa, Marc Dav...
WWW
2004
ACM
16 years 7 months ago
A novel heterogeneous data integration approach for p2p semantic link network
This paper proposes a novel approach to integrate heterogeneous data in P2P networks. The approach includes a tool for building P2P semantic link networks, mechanisms for peer sch...
Hai Zhuge, Jie Liu