32 search results - page 1 / 7 » PSkip: estimating relevance ranking quality from web search ... |
KDD
2009
ACM
13 years 9 months ago
2009
ACM
1 In this article, we report our efforts in mining the information encoded as clickthrough data in the server logs to evaluate and monitor the relevance ranking quality of a commer...
CIKM
2009
Springer
13 years 11 months ago
2009
Springer
Mining feedback information from user click-through data is an important issue for modern Web retrieval systems in terms of architecture analysis, performance evaluation and algor...
SIGIR
2009
ACM
13 years 11 months ago
2009
ACM
Incorporating features extracted from clickthrough data (called clickthrough features) has been demonstrated to significantly improve the performance of ranking models for Web sea...
CIKM
2008
Springer
13 years 6 months ago
2008
Springer
Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
WWW
2009
ACM
14 years 5 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...