---
title: "Mining User Dwell Time for Personalized Web Search Re-Ranking"
authors:
  - "Songhua Xu"
  - "Hao Jiang"
  - "Francis Chi-Moon Lau"
doi: "10.5591/978-1-57735-516-8/IJCAI11-394"
url: "https://ijcai.org/proceedings/2011/394"
pdf: "https://ijcai.org/proceedings/2011/0394.pdf"
venue: "Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence"
year: 2011
pages: "2367-2371"
track: ""
keywords:
---

# Mining User Dwell Time for Personalized Web Search Re-Ranking

Songhua Xu, Hao Jiang, Francis Chi-Moon Lau

*Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence*, pages 2367-2371. DOI: [10.5591/978-1-57735-516-8/IJCAI11-394](https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-394)

## Abstract

We propose a personalized re-ranking algorithm through mining user dwell times derived from a user's previously online reading or browsing activities. We acquire document level user dwell times via a customized web browser, from which we then infer concept word level user dwell times in order to understand a user's personal interest. According to the estimated concept word level user dwell times, our algorithm can estimate a user's potential dwell time over a new document, based on which personalized webpage re-ranking can be carried out. We compare the rankings produced by our algorithm with rankings generated by popular commercial search engines and a recently proposed personalized ranking algorithm. The results clearly show the superiority of our method.