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» Aggregating User-Centered Rankings to Improve Web Search
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ICDE
2006
IEEE
128views Database» more  ICDE 2006»
14 years 23 days 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 2 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...
INAP
2001
Springer
13 years 11 months ago
A Modern Approach to Searching the World Wide Web: Ranking Pages by Inference over Content
The Hypertext-based Webs such as Intranets contain a vast amount of information pertaining to an enormous number of subjects. It is, however, an organically grown and thus essentia...
Bronson Trevor, Edgar Weippl, Werner Winiwarter
WSDM
2010
ACM
194views Data Mining» more  WSDM 2010»
14 years 4 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
ACMICEC
2006
ACM
148views ECommerce» more  ACMICEC 2006»
14 years 21 days ago
Web based information for product ranking in e-business: a fuzzy approach
In this paper we have introduced a methodology to rank the available products in the Internet market. These rankings are based on the customers’ own preferences and also on the ...
B. K. Mohanty, K. Passi