Proceedings of the 16th International Conference on World Wide Web 2007
DOI: 10.1145/1242572.1242594
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Demographic prediction based on user's browsing behavior

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Cited by 219 publications
(133 citation statements)
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“…Recent research [27,28] has shown a correlation between demographic variables like sex and location, thus, these parameters must be derived from behavioral data too. Location data may be obtained by querying IP address location function, while mining gender information from visited web pages and read texts is possible using Support Vector Machine Regression technique [29,30] as described in [31].…”
Section: ° Video Clipsmentioning
confidence: 99%
“…Recent research [27,28] has shown a correlation between demographic variables like sex and location, thus, these parameters must be derived from behavioral data too. Location data may be obtained by querying IP address location function, while mining gender information from visited web pages and read texts is possible using Support Vector Machine Regression technique [29,30] as described in [31].…”
Section: ° Video Clipsmentioning
confidence: 99%
“…Baden et al Psychologists have long been predicting user traits and attributes based on various types of information such as samples of written text [22], answers to psychometric tests [14], or the appearances of places people inhibit [30]. Most of these researches are based on an assumption that users have tendencies to inadvertently leave behind [54,37,17,26], contents of personal web sites [51], and music collections [64].…”
Section: Chapter 4 Literature Reviewmentioning
confidence: 99%
“…However, researchers mainly concentrate on people's online behaviour, such as web browsing (Hu, Zeng, Li, Niu, & Chen, 2007;Saste, Bedekar, & Kosamkar, 2017) and social network (Rao, Yarowsky, Shreevats, & Gupta, 2010;Vijayaraghavan, Vosoughi, & Roy, 2017). The discriminative power of people's mobility in the physical world has been overlooked, especially the travel behaviour via public transit.…”
Section: Introductionmentioning
confidence: 99%