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WWW
2008
ACM
16 years 5 months ago
Learning to rank relational objects and its application to web search
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
WWW
2006
ACM
16 years 5 months ago
CWS: a comparative web search system
In this paper, we define and study a novel search problem: Comparative Web Search (CWS). The task of CWS is to seek relevant and comparative information from the Web to help users...
Jian-Tao Sun, Xuanhui Wang, Dou Shen, Hua-Jun Zeng...
WWW
2002
ACM
16 years 5 months ago
Probabilistic query expansion using query logs
Query expansion has long been suggested as an effective way to resolve the short query and word mismatching problems. A number of query expansion methods have been proposed in tra...
Hang Cui, Ji-Rong Wen, Jian-Yun Nie, Wei-Ying Ma
WWW
2001
ACM
16 years 5 months ago
Placing search in context: the concept revisited
We describe a new paradigm for performing search in context. In the IntelliZap system we developed, search is initiated from a text query marked by the user in a document she view...
Lev Finkelstein, Evgeniy Gabrilovich, Yossi Matias...
SIGMOD
2007
ACM
192views Database» more  SIGMOD 2007»
16 years 5 months ago
Benchmarking declarative approximate selection predicates
Declarative data quality has been an active research topic. The fundamental principle behind a declarative approach to data quality is the use of declarative statements to realize...
Amit Chandel, Oktie Hassanzadeh, Nick Koudas, Moha...