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» Adapting boosting for information retrieval measures
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CIKM
2009
Springer
15 years 4 months ago
MRM: an adaptive framework for XML searching
In order to deal with the diversified nature of XML documents as well as individual user preferences, we propose a novel Multiodel (MRM), which is able to abstract a spectrum of i...
Ho Lam Lau, Wilfred Ng
72
Voted
SIGIR
2004
ACM
15 years 2 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
IUI
1997
ACM
15 years 1 months ago
Intelligent Network News Reader
We are developing an Intelligent Network News Reader which extracts news articles for users. In contrast to ordinary information retrieval and abstract generation, this method uti...
Hitoshi Isahara, Hiromi Ozaku
WWW
2009
ACM
15 years 10 months ago
Predicting click through rate for job listings
Click Through Rate (CTR) is an important metric for ad systems, job portals, recommendation systems. CTR impacts publisher's revenue, advertiser's bid amounts in "p...
Manish S. Gupta
WWW
2006
ACM
15 years 10 months ago
Beyond PageRank: machine learning for static ranking
Since the publication of Brin and Page's paper on PageRank, many in the Web community have depended on PageRank for the static (query-independent) ordering of Web pages. We s...
Matthew Richardson, Amit Prakash, Eric Brill