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NIPS
2007
13 years 9 months ago
A General Boosting Method and its Application to Learning Ranking Functions for Web Search
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier C...
DSS
2006
174views more  DSS 2006»
13 years 8 months ago
CMedPort: An integrated approach to facilitating Chinese medical information seeking
As the number of non-English resources available on the Web is increasing rapidly, developing information retrieval techniques for non-English languages is becoming an urgent and ...
Yilu Zhou, Jialun Qin, Hsinchun Chen
CORR
2006
Springer
126views Education» more  CORR 2006»
13 years 8 months ago
Evaluating the Robustness of Learning from Implicit Feedback
This paper evaluates the robustness of learning from implicit feedback in web search. In particular, we create a model of user behavior by drawing upon user studies in laboratory ...
Filip Radlinski, Thorsten Joachims
ICDM
2006
IEEE
139views Data Mining» more  ICDM 2006»
14 years 2 months ago
Detecting Link Spam Using Temporal Information
How to effectively protect against spam on search ranking results is an important issue for contemporary web search engines. This paper addresses the problem of combating one majo...
Guoyang Shen, Bin Gao, Tie-Yan Liu, Guang Feng, Sh...
CIKM
2004
Springer
14 years 1 months ago
Exploiting hierarchical relationships in conceptual search
As the number of available Web pages grows, users experience increasing difficulty finding documents relevant to their interests. One of the underlying reasons for this is that mo...
Devanand Ravindran, Susan Gauch