General Terms Algorithms, Measurement, Experimentation

by Eugene Agichtein

Datum	Value	Source
TITLE	General Terms Algorithms, Measurement, Experimentation	SVM HeaderParse 0.2
AUTHOR NAME	Eugene Agichtein	SVM HeaderParse 0.2
AUTHOR AFFIL	Microsoft Research	SVM HeaderParse 0.2
ABSTRACT	We show that incorporating user behavior data can significantly improve ordering of top results in real web search setting. We examine alternatives for incorporating feedback into the ranking process and explore the contributions of user feedback compared to other common web search features. We report results of a large scale evaluation over 3,000 queries and 12 million user interactions with a popular web search engine. We show that incorporating implicit feedback can augment other features, improving the accuracy of a competitive web search ranking algorithms by as much as 31 % relative to the original performance.	SVM HeaderParse 0.2
CITATIONS	26 found	ParsCit 1.0