Inferring and predicting context of mobile users

Erik Meeuwissen; Paul Reinold; Cynthia Liem

doi:10.1002/bltj.20237

Inferring and predicting context of mobile users

Erik Meeuwissen^*, Paul Reinold, Cynthia Liem

^*Corresponding author for this work

Research output: Contribution to journal › Article › Scientific › peer-review

4 Citations (Scopus)

Abstract

User context characterizes the user's environment and situation. Knowledge of user context helps to improve how people communicate and enables new context-aware applications. This letter concerns inferring and predicting mobile users' context from time-stamped sequences of location identifiers. Results are validated using data from operational Global System for Mobile Communications* (GSM*) networks.

Original language	English
Pages (from-to)	79-86
Number of pages	8
Journal	Bell Labs Technical Journal
Volume	12
Issue number	2
DOIs	https://doi.org/10.1002/bltj.20237
Publication status	Published - 2007
Externally published	Yes

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10.1002/bltj.20237

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abstract = "User context characterizes the user's environment and situation. Knowledge of user context helps to improve how people communicate and enables new context-aware applications. This letter concerns inferring and predicting mobile users' context from time-stamped sequences of location identifiers. Results are validated using data from operational Global System for Mobile Communications* (GSM*) networks.",

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Inferring and predicting context of mobile users

Abstract

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