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» An Analysis of Factors Used in Search Engine Ranking
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WWW
2008
ACM
14 years 9 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
14 years 9 months ago
Mining related queries from search engine query logs
In this work we propose a method that retrieves a list of related queries given an initial input query. The related queries are based on the query log of previously issued queries...
Xiaodong Shi, Christopher C. Yang
CIKM
2010
Springer
13 years 6 months ago
Wisdom of the ages: toward delivering the children's web with the link-based agerank algorithm
Though children frequently use web search engines to learn, interact, and be entertained, modern web search engines are poorly suited to children's needs, requiring relativel...
Karl Gyllstrom, Marie-Francine Moens
CHI
2011
ACM
13 years 7 days ago
The aligned rank transform for nonparametric factorial analyses using only anova procedures
Nonparametric data from multi-factor experiments arise often in human-computer interaction (HCI). Examples may include error counts, Likert responses, and preference tallies. But ...
Jacob O. Wobbrock, Leah Findlater, Darren Gergle, ...
KDD
2009
ACM
183views Data Mining» more  KDD 2009»
14 years 9 months ago
OLAP on search logs: an infrastructure supporting data-driven applications in search engines
Search logs, which contain rich and up-to-date information about users' needs and preferences, have become a critical data source for search engines. Recently, more and more ...
Bin Zhou 0002, Daxin Jiang, Jian Pei, Hang Li