302 search results - page 14 / 61 » Smoothing clickthrough data for web search ranking |
193
click to vote
KDD
2009
ACM
16 years 7 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, ...
162
click to vote
AAAI
2007
15 years 9 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 ...
174
click to vote
EMNLP
2009
15 years 4 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...
178
click to vote
SIGIR
2010
ACM
15 years 10 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 ...
217
click to vote
WWW
2011
ACM
15 years 1 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. ...