Providing Customised Information Panel Content Based on User Behavioral Patterns
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Date
2018-06-01
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Referee
Mark
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Volume Title
Publisher
Institute of Automation and Computer Science, Brno University of Technology
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Abstract
Although mobile applications are commonly using user location and behavior to provide relevant content, public information panels usually lack the ability to adjust the content for a particular user or a group of users. Therefore, we focused on the development of information panels that are able, in combination with a mobile application, to collect anonymous location data about the users, identify key behavioral patterns and provide content that is relevant for the users in the panel vicinity. The key property of our solution is the anonymity of the collected information and privacy in general. The proposed algorithm consists of the data clustering and subsequent analysis. Described solution can be used in any public building or campus that the users visit regularly.
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Citation
Mendel. 2018 vol. 24, č. 1, s. 173-180. ISSN 1803-3814
https://mendel-journal.org/index.php/mendel/article/view/39
https://mendel-journal.org/index.php/mendel/article/view/39
Document type
Peer-reviewed
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en