Personalization of wellness recommendations using contextual interpretation

Muhammad Afzal; Syed Imran Ali; Rahman Ali; Maqbool Hussain; Taqdir Ali; Wajahat Ali Khan; Muhammad Bilal Amin; Byeong Ho Kang; Sungyoung Lee

doi:10.1016/j.eswa.2017.11.006

Personalization of wellness recommendations using contextual interpretation

Muhammad Afzal, Syed Imran Ali, Rahman Ali, Maqbool Hussain, Taqdir Ali, Wajahat Ali Khan, Muhammad Bilal Amin, Byeong Ho Kang, Sungyoung Lee^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

31 Citations (SciVal)

Original language	English
Pages (from-to)	506-521
Number of pages	16
Journal	Expert Systems with Applications
Volume	96
DOIs	https://doi.org/10.1016/j.eswa.2017.11.006
Publication status	Published (VoR) - 15 Apr 2018

Funding

This research was supported by the (i) MSIT(Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program ( IITP-2017-0-01629 ) supervised by the IITP (Institute for Information & communications Technology Promotion)," (ii) Industrial Core Technology Development Program ( 10049079 , Development of mining core technology exploiting personal big data) funded by the Ministry of Trade, Industry and Energy (MOTIE, Korea)," (iii) Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning ( 2011-0030079 ), " and (iv) Korea Research Fellowship Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT ( NRF-2016H1D3A1938039 ) and ( NRF-2016K1A3A7A03951968 ), and (v) Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No. 2017-0-00655 ).

Keywords

Context-aware recommendation
Knowledge-based system
Personalized recommendation
Physical activity recommendation system
Precise recommendation

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10.1016/j.eswa.2017.11.006

Cite this

@article{df8f7110f5c847ac9dd223f5e2fc7f90,

title = "Personalization of wellness recommendations using contextual interpretation",

keywords = "Context-aware recommendation, Knowledge-based system, Personalized recommendation, Physical activity recommendation system, Precise recommendation",

author = "Muhammad Afzal and Ali, \{Syed Imran\} and Rahman Ali and Maqbool Hussain and Taqdir Ali and Khan, \{Wajahat Ali\} and Amin, \{Muhammad Bilal\} and Kang, \{Byeong Ho\} and Sungyoung Lee",

note = "Funding Information: This research was supported by the (i) MSIT(Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program ( IITP-2017-0-01629 ) supervised by the IITP (Institute for Information \& communications Technology Promotion),{"} (ii) Industrial Core Technology Development Program ( 10049079 , Development of mining core technology exploiting personal big data) funded by the Ministry of Trade, Industry and Energy (MOTIE, Korea),{"} (iii) Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT \& Future Planning ( 2011-0030079 ), {"} and (iv) Korea Research Fellowship Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT ( NRF-2016H1D3A1938039 ) and ( NRF-2016K1A3A7A03951968 ), and (v) Institute for Information \& communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No. 2017-0-00655 ). Publisher Copyright: {\textcopyright} 2017 Elsevier Ltd",

year = "2018",

month = apr,

day = "15",

doi = "10.1016/j.eswa.2017.11.006",

language = "English",

volume = "96",

pages = "506--521",

journal = "Expert Systems with Applications",

issn = "0957-4174",

publisher = "Elsevier",

}

TY - JOUR

T1 - Personalization of wellness recommendations using contextual interpretation

AU - Afzal, Muhammad

AU - Ali, Syed Imran

AU - Ali, Rahman

AU - Hussain, Maqbool

AU - Ali, Taqdir

AU - Khan, Wajahat Ali

AU - Amin, Muhammad Bilal

AU - Kang, Byeong Ho

AU - Lee, Sungyoung

N1 - Funding Information: This research was supported by the (i) MSIT(Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program ( IITP-2017-0-01629 ) supervised by the IITP (Institute for Information & communications Technology Promotion)," (ii) Industrial Core Technology Development Program ( 10049079 , Development of mining core technology exploiting personal big data) funded by the Ministry of Trade, Industry and Energy (MOTIE, Korea)," (iii) Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning ( 2011-0030079 ), " and (iv) Korea Research Fellowship Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT ( NRF-2016H1D3A1938039 ) and ( NRF-2016K1A3A7A03951968 ), and (v) Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No. 2017-0-00655 ). Publisher Copyright: © 2017 Elsevier Ltd

PY - 2018/4/15

Y1 - 2018/4/15

KW - Context-aware recommendation

KW - Knowledge-based system

KW - Personalized recommendation

KW - Physical activity recommendation system

KW - Precise recommendation

UR - https://www.scopus.com/pages/publications/85033787874

UR - https://www.scopus.com/inward/citedby.url?scp=85033787874&partnerID=8YFLogxK

U2 - 10.1016/j.eswa.2017.11.006

DO - 10.1016/j.eswa.2017.11.006

M3 - Article

AN - SCOPUS:85033787874

SN - 0957-4174

VL - 96

SP - 506

EP - 521

JO - Expert Systems with Applications

JF - Expert Systems with Applications

ER -

Personalization of wellness recommendations using contextual interpretation

Funding

Keywords

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