A user customized service provider framework based on machine learning

Seunghye Kim; Eunjae Hong; Byungchul Park; Hyunggon Park

doi:10.1109/ICUFN.2015.7182488

A user customized service provider framework based on machine learning

Seunghye Kim, Eunjae Hong, Byungchul Park, Hyunggon Park

Electronic and Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

In this paper, we propose a user customized service provider framework based on machine learning. The framework consists of mobile stations, data collector, analysis tools and service applications. As an analysis tool, we deploy machine learning techniques, in particular, support vector machine which generates learning model and precise classifiers. Moreover, K-fold cross-validation is used to achieve better accurate inference from the collected data. Then, we develop a predictor that predicts users' behavior patterns from the information of time connections and APs. This enables to provide adaptive services customized for end-users, e.g., smart phone push notifications services.

Original language	English
Title of host publication	ICUFN 2015 - 7th International Conference on Ubiquitous and Future Networks
Publisher	IEEE Computer Society
Pages	23-25
Number of pages	3
ISBN (Electronic)	9781479989935
DOIs	https://doi.org/10.1109/ICUFN.2015.7182488
State	Published - 7 Aug 2015
Event	7th International Conference on Ubiquitous and Future Networks, ICUFN 2015 - Sapporo, Japan Duration: 7 Jul 2015 → 10 Jul 2015

Publication series

Name	International Conference on Ubiquitous and Future Networks, ICUFN
Volume	2015-August
ISSN (Print)	2165-8528
ISSN (Electronic)	2165-8536

Conference

Conference	7th International Conference on Ubiquitous and Future Networks, ICUFN 2015
Country/Territory	Japan
City	Sapporo
Period	7/07/15 → 10/07/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

K-fold cross-validation
Machine learning
location based service
support vector machine

Access to Document

10.1109/ICUFN.2015.7182488

Cite this

Kim, S., Hong, E., Park, B., & Park, H. (2015). A user customized service provider framework based on machine learning. In ICUFN 2015 - 7th International Conference on Ubiquitous and Future Networks (pp. 23-25). Article 7182488 (International Conference on Ubiquitous and Future Networks, ICUFN; Vol. 2015-August). IEEE Computer Society. https://doi.org/10.1109/ICUFN.2015.7182488

@inproceedings{81b1cdcb8882447ba83c637d20f93e93,

title = "A user customized service provider framework based on machine learning",

abstract = "In this paper, we propose a user customized service provider framework based on machine learning. The framework consists of mobile stations, data collector, analysis tools and service applications. As an analysis tool, we deploy machine learning techniques, in particular, support vector machine which generates learning model and precise classifiers. Moreover, K-fold cross-validation is used to achieve better accurate inference from the collected data. Then, we develop a predictor that predicts users' behavior patterns from the information of time connections and APs. This enables to provide adaptive services customized for end-users, e.g., smart phone push notifications services.",

keywords = "K-fold cross-validation, Machine learning, location based service, support vector machine",

author = "Seunghye Kim and Eunjae Hong and Byungchul Park and Hyunggon Park",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 7th International Conference on Ubiquitous and Future Networks, ICUFN 2015 ; Conference date: 07-07-2015 Through 10-07-2015",

year = "2015",

month = aug,

day = "7",

doi = "10.1109/ICUFN.2015.7182488",

language = "English",

series = "International Conference on Ubiquitous and Future Networks, ICUFN",

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Kim, S, Hong, E, Park, B & Park, H 2015, A user customized service provider framework based on machine learning. in ICUFN 2015 - 7th International Conference on Ubiquitous and Future Networks., 7182488, International Conference on Ubiquitous and Future Networks, ICUFN, vol. 2015-August, IEEE Computer Society, pp. 23-25, 7th International Conference on Ubiquitous and Future Networks, ICUFN 2015, Sapporo, Japan, 7/07/15. https://doi.org/10.1109/ICUFN.2015.7182488

A user customized service provider framework based on machine learning. / Kim, Seunghye; Hong, Eunjae; Park, Byungchul et al.
ICUFN 2015 - 7th International Conference on Ubiquitous and Future Networks. IEEE Computer Society, 2015. p. 23-25 7182488 (International Conference on Ubiquitous and Future Networks, ICUFN; Vol. 2015-August).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - In this paper, we propose a user customized service provider framework based on machine learning. The framework consists of mobile stations, data collector, analysis tools and service applications. As an analysis tool, we deploy machine learning techniques, in particular, support vector machine which generates learning model and precise classifiers. Moreover, K-fold cross-validation is used to achieve better accurate inference from the collected data. Then, we develop a predictor that predicts users' behavior patterns from the information of time connections and APs. This enables to provide adaptive services customized for end-users, e.g., smart phone push notifications services.

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A user customized service provider framework based on machine learning

Abstract

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Conference

Bibliographical note

Keywords

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Cite this