Improving web search ranking by incorporating user behavior information

Eugene Agichtein, Eric Brill, Susan Dumais
2006 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '06  
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,
more » ... proving the accuracy of a competitive web search ranking algorithms by as much as 31% relative to the original performance.
doi:10.1145/1148170.1148177 dblp:conf/sigir/AgichteinBD06 fatcat:xsewkoz2bzgu5kx4wbqj5kel24