Understanding web browsing behaviors through Weibull analysis of dwell time

By Chao Liu, Ryen W. White, Susan T. Dumais. Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

324 citations recorded by the source corpus.

Subfields: Information Systems, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/809e14a1f8da05a1624f285c9b930a23da93aece

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

1. Xiangnan He
2. Tat-seng Chua
3. Liqiang Nie
4. Fuli Feng
5. Yongfeng Zhang
6. Xiang Wang
7. Xu Chen
8. Min Zhang

In Management Science and Operations Research

1. Xiangnan He
2. Tat-seng Chua
3. Fuli Feng
4. Liqiang Nie
5. Wenjie Wang
6. Jian-Yun Nie
7. Sam Wineburg
8. Yiqun Liu

Citations in the corpus

• Denoising Implicit Feedback for Recommendation (2020, methodology): “To alleviate the impact of false-positive interactions, previous approaches [23, 32, 34, 36, 37] also consider incorporating more feedback (e.”
• Kernel Archetypal Analysis for Clustering Web Search Frequency Time Series (2014, background): “Appropriately parametrized Weibull distributions provide reasonable models of the general trends apparent in the data; the good performance of lifetime distributions in attention modeling is not an artifact but has been observed in a variety of contexts [11], [13], [22], [23].”
• Time-Aware Click Model (2016, result): “According to existing studies [Fox et al. 2005; Smucker and Clarke 2012; Liu et al. 2010], we assume that the stopping probability is related to the result relevance (αuq) and the dwell time user costs on it (F(DwellTimet)).”
• (Un)informed Consent: Studying GDPR Consent Notices in the Field (2019, background): “ with the notice at all and spent only a short period of time on the site. While this could be related to the notice, it is not unusual that most visitors leave a site after a few seconds. Liu et al. [25] showed that website dwell time has a negative aging effect. Users first skim a site to decide w”
• Lateral Reading: Reading Less and Learning More When Evaluating Digital Information (2017, background): “At the same time, we reasoned that tasks without time limits threaten ecological validity—just-in-time searches are generally matters of minutes or seconds, not hours (Liu et al., 2010; Nielsen, 2011).”