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A mobile cloud framework for context-aware and portable recommender system for smart markets

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

Forthcoming

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A mobile cloud framework for context-aware and portable recommender system for smart markets. / Khan, Aftab; Ahmad, Aakash; Rahman, Anis Ur et al.
EAI/Springer Innovations in Communication and Computing. ed. / Rashid Mehmood; Simon See; Iyad Katib; Imrich Chlamtac. Springer Science and Business Media Deutschland GmbH, 2019. p. 283-309 (EAI/Springer Innovations in Communication and Computing).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

Harvard

Khan, A, Ahmad, A, Rahman, AU & Alkhalil, A 2019, A mobile cloud framework for context-aware and portable recommender system for smart markets. in R Mehmood, S See, I Katib & I Chlamtac (eds), EAI/Springer Innovations in Communication and Computing. EAI/Springer Innovations in Communication and Computing, Springer Science and Business Media Deutschland GmbH, pp. 283-309. https://doi.org/10.1007/978-3-030-13705-2_12

APA

Khan, A., Ahmad, A., Rahman, A. U., & Alkhalil, A. (in press). A mobile cloud framework for context-aware and portable recommender system for smart markets. In R. Mehmood, S. See, I. Katib, & I. Chlamtac (Eds.), EAI/Springer Innovations in Communication and Computing (pp. 283-309). (EAI/Springer Innovations in Communication and Computing). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-13705-2_12

Vancouver

Khan A, Ahmad A, Rahman AU, Alkhalil A. A mobile cloud framework for context-aware and portable recommender system for smart markets. In Mehmood R, See S, Katib I, Chlamtac I, editors, EAI/Springer Innovations in Communication and Computing. Springer Science and Business Media Deutschland GmbH. 2019. p. 283-309. (EAI/Springer Innovations in Communication and Computing). doi: 10.1007/978-3-030-13705-2_12

Author

Khan, Aftab ; Ahmad, Aakash ; Rahman, Anis Ur et al. / A mobile cloud framework for context-aware and portable recommender system for smart markets. EAI/Springer Innovations in Communication and Computing. editor / Rashid Mehmood ; Simon See ; Iyad Katib ; Imrich Chlamtac. Springer Science and Business Media Deutschland GmbH, 2019. pp. 283-309 (EAI/Springer Innovations in Communication and Computing).

Bibtex

@inbook{d8ef97184ba84f37811bafa03939d474,
title = "A mobile cloud framework for context-aware and portable recommender system for smart markets",
abstract = "Smart city systems are fast emerging as solutions that provide better and digitized urban services to empower individuals and organizations. Mobile and cloud computing technologies can enable smart city systems to (1) exploit the portability and context-awareness of mobile devices and (2) utilize the computation and storage services of cloud servers. Despite the wide-spread adoption of mobile and cloud computing technologies, there is still a lack of solutions that provide the users with portable and context-aware recommendations based on their localized context. We propose to advance the state-of-the-art on recommender systems—providing a portable, efficient, and context-driven digital matchmaking—in the context of smart markets that involves virtualized customers and business entities. We have proposed a framework and algorithms that unify the mobile and cloud computing technologies to offer context-aware and portable recommendations for smart markets. We have developed a prototype as a proof-of-the-concept to support automation, user intervention, and customization of users{\textquoteright} preferences during the recommendation process. The evaluation results suggest that the framework (1) has a high accuracy for context-aware recommendations, and (2) it supports computation and energy efficient mobile computing. The proposed solution aims to advance the research on recommender systems for smart city systems by providing context-aware and portable computing for smart markets.",
keywords = "Mobile cloud computing, Mobile computing, Recommendation system, Smart city software, Smart markets, Software engineering",
author = "Aftab Khan and Aakash Ahmad and Rahman, {Anis Ur} and Adel Alkhalil",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.",
year = "2019",
month = jun,
day = "21",
doi = "10.1007/978-3-030-13705-2_12",
language = "English",
isbn = "978-3-030-13704-5",
series = "EAI/Springer Innovations in Communication and Computing",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "283--309",
editor = "Rashid Mehmood and Simon See and Iyad Katib and Imrich Chlamtac",
booktitle = "EAI/Springer Innovations in Communication and Computing",
address = "Germany",

}

RIS

TY - CHAP

T1 - A mobile cloud framework for context-aware and portable recommender system for smart markets

AU - Khan, Aftab

AU - Ahmad, Aakash

AU - Rahman, Anis Ur

AU - Alkhalil, Adel

N1 - Publisher Copyright: © 2020, Springer Nature Switzerland AG.

PY - 2019/6/21

Y1 - 2019/6/21

N2 - Smart city systems are fast emerging as solutions that provide better and digitized urban services to empower individuals and organizations. Mobile and cloud computing technologies can enable smart city systems to (1) exploit the portability and context-awareness of mobile devices and (2) utilize the computation and storage services of cloud servers. Despite the wide-spread adoption of mobile and cloud computing technologies, there is still a lack of solutions that provide the users with portable and context-aware recommendations based on their localized context. We propose to advance the state-of-the-art on recommender systems—providing a portable, efficient, and context-driven digital matchmaking—in the context of smart markets that involves virtualized customers and business entities. We have proposed a framework and algorithms that unify the mobile and cloud computing technologies to offer context-aware and portable recommendations for smart markets. We have developed a prototype as a proof-of-the-concept to support automation, user intervention, and customization of users’ preferences during the recommendation process. The evaluation results suggest that the framework (1) has a high accuracy for context-aware recommendations, and (2) it supports computation and energy efficient mobile computing. The proposed solution aims to advance the research on recommender systems for smart city systems by providing context-aware and portable computing for smart markets.

AB - Smart city systems are fast emerging as solutions that provide better and digitized urban services to empower individuals and organizations. Mobile and cloud computing technologies can enable smart city systems to (1) exploit the portability and context-awareness of mobile devices and (2) utilize the computation and storage services of cloud servers. Despite the wide-spread adoption of mobile and cloud computing technologies, there is still a lack of solutions that provide the users with portable and context-aware recommendations based on their localized context. We propose to advance the state-of-the-art on recommender systems—providing a portable, efficient, and context-driven digital matchmaking—in the context of smart markets that involves virtualized customers and business entities. We have proposed a framework and algorithms that unify the mobile and cloud computing technologies to offer context-aware and portable recommendations for smart markets. We have developed a prototype as a proof-of-the-concept to support automation, user intervention, and customization of users’ preferences during the recommendation process. The evaluation results suggest that the framework (1) has a high accuracy for context-aware recommendations, and (2) it supports computation and energy efficient mobile computing. The proposed solution aims to advance the research on recommender systems for smart city systems by providing context-aware and portable computing for smart markets.

KW - Mobile cloud computing

KW - Mobile computing

KW - Recommendation system

KW - Smart city software

KW - Smart markets

KW - Software engineering

UR - http://www.scopus.com/inward/record.url?scp=85089464334&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-13705-2_12

DO - 10.1007/978-3-030-13705-2_12

M3 - Chapter

AN - SCOPUS:85089464334

SN - 978-3-030-13704-5

T3 - EAI/Springer Innovations in Communication and Computing

SP - 283

EP - 309

BT - EAI/Springer Innovations in Communication and Computing

A2 - Mehmood, Rashid

A2 - See, Simon

A2 - Katib, Iyad

A2 - Chlamtac, Imrich

PB - Springer Science and Business Media Deutschland GmbH

ER -