Mobile phone log data is not static as it is progressively added to day-by-day according to individual's behavior. The goal of this position paper is to highlight the issues of traditional behavior modeling utilizing phone log data and to describe the key aspects that constitute the foundation of our recency-based behavior modeling for individual mobile phone users to overcome such issues.
Available versions
PDF (Published version)ISBN
9781450351904Journal title
UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable ComputersConference name
2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and ACM International Symposium on Wearable ComputersLocation
Maui, HawaiiStart date
2017-09-11End date
2017-09-15Pagination
5 ppPublisher
ACM PressCopyright statement
© 2017 Copyright is held by the owner/author(s). Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author. UbiComp/ISWC’17 Adjunct, September 11-15, 2017, Maui, HI, USALanguage
eng
