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» Learning to rank for information retrieval
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MM
2009
ACM
195views Multimedia» more  MM 2009»
15 years 4 months ago
Flickr hypergroups
The amount of multimedia content available online constantly increases, and this leads to problems for users who search for content or similar communities. Users in Flickr often s...
Radu Andrei Negoescu, Brett Adams, Dinh Q. Phung, ...
ITICSE
2004
ACM
15 years 3 months ago
Use of large databases for group projects at the nexus of teaching and research
Final year, group (capstone) projects in computing disciplines are often expected to fill multiple roles: in addition to allowing students to learn important domain-specific knowl...
Richard C. Thomas, Rebecca Mancy
SIGIR
2004
ACM
15 years 3 months ago
Document clustering via adaptive subspace iteration
Document clustering has long been an important problem in information retrieval. In this paper, we present a new clustering algorithm ASI1, which uses explicitly modeling of the s...
Tao Li, Sheng Ma, Mitsunori Ogihara
SIGIR
2003
ACM
15 years 3 months ago
SETS: search enhanced by topic segmentation
We present SETS, an architecture for efficient search in peer-to-peer networks, building upon ideas drawn from machine learning and social network theory. The key idea is to arran...
Mayank Bawa, Gurmeet Singh Manku, Prabhakar Raghav...
SIGMOD
2012
ACM
223views Database» more  SIGMOD 2012»
13 years 8 days ago
MaskIt: privately releasing user context streams for personalized mobile applications
The rise of smartphones equipped with various sensors has enabled personalization of various applications based on user contexts extracted from sensor readings. At the same time i...
Michaela Götz, Suman Nath, Johannes Gehrke