76 search results - page 5 / 16 » Are click-through data adequate for learning web search rank... |
KDD
2009
ACM
14 years 8 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, ...
WWW
2009
ACM
14 years 8 months ago
2009
ACM
As with any application of machine learning, web search ranking requires labeled data. The labels usually come in the form of relevance assessments made by editors. Click logs can...
WSDM
2012
ACM
12 years 3 months ago
2012
ACM
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
WSDM
2010
ACM
14 years 4 months ago
2010
ACM
In web search, recency ranking refers to ranking documents by relevance which takes freshness into account. In this paper, we propose a retrieval system which automatically detect...
SIGIR
2004
ACM
14 years 27 days ago
2004
ACM
Organizing Web search results into clusters facilitates users' quick browsing through search results. Traditional clustering techniques are inadequate since they don't g...