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» Context-aware ranking in web search
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WSDM
2010
ACM
194views Data Mining» more  WSDM 2010»
14 years 6 months ago
Ranking with Query-Dependent Loss for Web Search
Queries describe the users' search intent and therefore they play an essential role in the context of ranking for information retrieval and Web search. However, most of exist...
Jiang Bian, Tie-Yan Liu, Tao Qin, Hongyuan Zha
ICDE
2008
IEEE
189views Database» more  ICDE 2008»
14 years 3 months ago
Adapting ranking functions to user preference
— Learning to rank has become a popular method for web search ranking. Traditionally, expert-judged examples are the major training resource for machine learned web ranking, whic...
Keke Chen, Ya Zhang, Zhaohui Zheng, Hongyuan Zha, ...
ICDE
2006
IEEE
128views Database» more  ICDE 2006»
14 years 2 months ago
Searching and Ranking Documents based on Semantic Relationships
Just as the link structure of the web is a critical component in today's web search, complex relationships (i.e., the different ways the dots are connected) will be an import...
Boanerges Aleman-Meza
WSDM
2012
ACM
267views Data Mining» more  WSDM 2012»
12 years 4 months ago
Learning to rank with multi-aspect relevance for vertical search
Many vertical search tasks such as local search focus on specific domains. The meaning of relevance in these verticals is domain-specific and usually consists of multiple well-d...
Changsung Kang, Xuanhui Wang, Yi Chang, Belle L. T...
IEEECIT
2009
IEEE
14 years 3 months ago
Collective Intelligence-Based Web Page Search: Combining Folksonomy and Link-Based Ranking Strategy
— With the exponentially growing amount of information available on the Internet, retrieving web pages of interest has become increasingly difficult. While several web page recom...
Tao Zhang, Byungjeong Lee, Sooyong Kang, Hanjoon K...