302 search results - page 14 / 61 » Smoothing clickthrough data for web search ranking |
KDD
2009
ACM
15 years 10 months ago
2009
ACM
User browsing information, particularly their non-search related activity, reveals important contextual information on the preferences and the intent of web users. In this paper, ...
AAAI
2007
14 years 12 months ago
2007
This paper is to investigate rank aggregation based on multiple user-centered measures in the context of the web search. We introduce a set of techniques to combine ranking lists ...
76
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EMNLP
2009
14 years 7 months ago
2009
This paper explores two classes of model adaptation methods for Web search ranking: Model Interpolation and error-driven learning approaches based on a boosting algorithm. The res...
SIGIR
2010
ACM
15 years 1 months ago
2010
ACM
The context of a search query often provides a search engine meaningful hints for answering the current query better. Previous studies on context-aware search were either focused ...
102
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WWW
2011
ACM
14 years 4 months ago
2011
ACM
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...