RecencyMiner: mining recency-based personalized behavior from contextual smartphone data
RecencyMiner: mining recency-based personalized behavior from contextual smartphone data
About this item
Full title
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Publisher
Cham: Springer International Publishing
Journal title
Language
English
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Publication information
Publisher
Cham: Springer International Publishing
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Scope and Contents
Contents
Due to the advanced features in recent smartphones and context-awareness in mobile technologies, users’ diverse behavioral activities with their phones and associated contexts are recorded through the device logs. Behavioral patterns of smartphone users may vary greatly between individuals in different contexts—for example, temporal, spatial, or so...
Alternative Titles
Full title
RecencyMiner: mining recency-based personalized behavior from contextual smartphone data
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_f11a4b07085249bea3116630743ffe40
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f11a4b07085249bea3116630743ffe40
Other Identifiers
ISSN
2196-1115
E-ISSN
2196-1115
DOI
10.1186/s40537-019-0211-6
