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NIPS
2007
15 years 8 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...
SIGMOD
2008
ACM
118views Database» more  SIGMOD 2008»
15 years 6 months ago
NAGA: harvesting, searching and ranking knowledge
The presence of encyclopedic Web sources, such as Wikipedia, the Internet Movie Database (IMDB), World Factbook, etc. calls for new querying techniques that are simple and yet mor...
Gjergji Kasneci, Fabian M. Suchanek, Georgiana Ifr...
TKDE
2008
191views more  TKDE 2008»
15 years 6 months ago
Beyond Single-Page Web Search Results
Given a user keyword query, current Web search engines return a list of individual Web pages ranked by their "goodness" with respect to the query. Thus, the basic unit fo...
Ramakrishna Varadarajan, Vagelis Hristidis, Tao Li
ICMCS
2009
IEEE
159views Multimedia» more  ICMCS 2009»
15 years 4 months ago
Large-scale near-duplicate web video search: Challenge and opportunity
The massive amount of near-duplicate and duplicate web videos has presented both challenge and opportunity to multimedia computing. On one hand, browsing videos on Internet become...
Wanlei Zhao, Song Tan, Chong-Wah Ngo
CIKM
2009
Springer
15 years 10 months ago
Learning from past queries for resource selection
Federated text search provides a unified search interface for multiple search engines of distributed text information sources. Resource selection is an important component for fed...
Suleyman Cetintas, Luo Si, Hao Yuan