Using RSSI simple localization method to implement the context-aware and social recommendation system

Mu Yen Chen; Ming Ni Wu; Hsien En Lin

doi:10.4028/www.scientific.net/AMM.479-480.1213

Using RSSI simple localization method to implement the context-aware and social recommendation system

Mu Yen Chen, Ming Ni Wu, Hsien En Lin

Department of Engineering Science

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

Abstract

This study integrates the concept of context-awareness with association algorithms and social media to establish the Context-aware and Social Recommendation System (CASRS). The Simple RSSI Indoor Localization Module (SRILM) locates the user position; integrating SRILM with Apriori Recommendation Module (ARM) provides effective recommended product information. The Social Media Recommendation Module (SMRM) connects to user's social relations, so that the effectiveness for users to gain product information is greatly enhanced. This study develops the system based on actual context.

Original language	English
Title of host publication	Applied Science and Precision Engineering Innovation
Pages	1213-1217
Number of pages	5
DOIs	https://doi.org/10.4028/www.scientific.net/AMM.479-480.1213
Publication status	Published - 2014
Event	International Applied Science and Precision Engineering Conference 2013, ASPEC 2013 - NanTou, Taiwan Duration: 2013 Oct 18 → 2013 Oct 22

Publication series

Name	Applied Mechanics and Materials
Volume	479-480
ISSN (Print)	1660-9336
ISSN (Electronic)	1662-7482

Other

Other	International Applied Science and Precision Engineering Conference 2013, ASPEC 2013
Country	Taiwan
City	NanTou
Period	13-10-18 → 13-10-22

All Science Journal Classification (ASJC) codes

Engineering(all)

Access to Document

10.4028/www.scientific.net/AMM.479-480.1213

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Cite this

@inproceedings{a373b4c82df942f4897705b95e531da4,

title = "Using RSSI simple localization method to implement the context-aware and social recommendation system",

abstract = "This study integrates the concept of context-awareness with association algorithms and social media to establish the Context-aware and Social Recommendation System (CASRS). The Simple RSSI Indoor Localization Module (SRILM) locates the user position; integrating SRILM with Apriori Recommendation Module (ARM) provides effective recommended product information. The Social Media Recommendation Module (SMRM) connects to user's social relations, so that the effectiveness for users to gain product information is greatly enhanced. This study develops the system based on actual context.",

author = "Chen, {Mu Yen} and Wu, {Ming Ni} and Lin, {Hsien En}",

note = "Copyright: Copyright 2014 Elsevier B.V., All rights reserved.; International Applied Science and Precision Engineering Conference 2013, ASPEC 2013 ; Conference date: 18-10-2013 Through 22-10-2013",

year = "2014",

doi = "10.4028/www.scientific.net/AMM.479-480.1213",

language = "English",

isbn = "9783037859476",

series = "Applied Mechanics and Materials",

pages = "1213--1217",

booktitle = "Applied Science and Precision Engineering Innovation",

}

Chen, MY, Wu, MN & Lin, HE 2014, Using RSSI simple localization method to implement the context-aware and social recommendation system. in Applied Science and Precision Engineering Innovation. Applied Mechanics and Materials, vol. 479-480, pp. 1213-1217, International Applied Science and Precision Engineering Conference 2013, ASPEC 2013, NanTou, Taiwan, 13-10-18. https://doi.org/10.4028/www.scientific.net/AMM.479-480.1213

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AU - Wu, Ming Ni

AU - Lin, Hsien En

PY - 2014

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N2 - This study integrates the concept of context-awareness with association algorithms and social media to establish the Context-aware and Social Recommendation System (CASRS). The Simple RSSI Indoor Localization Module (SRILM) locates the user position; integrating SRILM with Apriori Recommendation Module (ARM) provides effective recommended product information. The Social Media Recommendation Module (SMRM) connects to user's social relations, so that the effectiveness for users to gain product information is greatly enhanced. This study develops the system based on actual context.

AB - This study integrates the concept of context-awareness with association algorithms and social media to establish the Context-aware and Social Recommendation System (CASRS). The Simple RSSI Indoor Localization Module (SRILM) locates the user position; integrating SRILM with Apriori Recommendation Module (ARM) provides effective recommended product information. The Social Media Recommendation Module (SMRM) connects to user's social relations, so that the effectiveness for users to gain product information is greatly enhanced. This study develops the system based on actual context.

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DO - 10.4028/www.scientific.net/AMM.479-480.1213

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SN - 9783037859476

T3 - Applied Mechanics and Materials

SP - 1213

EP - 1217

BT - Applied Science and Precision Engineering Innovation

T2 - International Applied Science and Precision Engineering Conference 2013, ASPEC 2013

Y2 - 18 October 2013 through 22 October 2013

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