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Improving Web Search Ranking by Incorporating User Behavior Information

Resource type
Authors/contributors
Title
Improving Web Search Ranking by Incorporating User Behavior Information
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.
Date
2006
Proceedings Title
Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
Place
New York, NY, USA
Publisher
ACM
Pages
19–26
Series
SIGIR '06
Language
en
DOI
10.1145/1148170.1148177
ISBN
978-1-59593-369-0
Accessed
2019-01-18T18:14:12Z
Library Catalog
ACM Digital Library
Citation
Agichtein, E., Brill, E., & Dumais, S. (2006). Improving Web Search Ranking by Incorporating User Behavior Information. In Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 19–26). New York, NY, USA: ACM. https://doi.org/10.1145/1148170.1148177
Field of study
Type of contribution