Conference proceeding
Survival analysis of click logs
Proceedings of the 35th international ACM SIGIR conference on research and development in information retrieval, pp.1149-1150
SIGIR '12
08/12/2012
DOI: 10.1145/2348283.2348513
Abstract
Click logs from search engines provide a rich opportunity to acquire implicit feedback from users. Patterns derived from the time between a posted query and a click provide information on the ranking quality, reflecting the perceived relevance of a retrieved URL. This paper applies the Kaplan-Meier estimator to study click patterns. The visualization of click curves demonstrates the interaction between the relevance and the rank position of URLs. The observed results demonstrate the potential of using click curves to predict the quality of the top-ranked results.
Details
- Title: Subtitle
- Survival analysis of click logs
- Creators
- Si-Chi Chin - University of IowaW Street
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of the 35th international ACM SIGIR conference on research and development in information retrieval, pp.1149-1150
- Publisher
- ACM
- Series
- SIGIR '12
- DOI
- 10.1145/2348283.2348513
- Language
- English
- Date published
- 08/12/2012
- Academic Unit
- Nursing; Computer Science; Bus Admin College; Business Analytics
- Record Identifier
- 9984380413002771
Metrics
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