Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Enterprise Systems for Networked Smart Cities Read chapter Read first chapter

2020 | OriginalPaper | Chapter

12. A Mobile Cloud Framework for Context-Aware and Portable Recommender System for Smart Markets

Authors : Aftab Khan, Aakash Ahmad, Anis Ur Rahman, Adel Alkhalil

Published in: Smart Infrastructure and Applications

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

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’ 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.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter The Role of Big Data and Twitter Data Analytics in Healthcare Supply Chain Management
next chapter Association Rule Mining in Higher Education: A Case Study of Computer Science Students
Footnotes
1
Please note that we use the terms proposed solution, proposed system, and proposed framework interchangeably, all referring to the same concept.
 
2
ISO/IEC/IEEE 42010 Systems and software engineering—Architecture description is an international standard for architecture descriptions of systems and software.
 
8
HTML 5—World Wide Web Consortium: https://​www.​w3.​org/​TR/​html5/​.
 
9
It is noteworthy that ISO/IEC 9126–1 was first published in 1991; and later on from the year 2001 to the year 2004 ISO published an international standard (ISO/IEC 9126–1) as well as three technical reports (ISO/IEC 9126–2 to ISO/IEC 9126–4).
 
Literature
1.
2.
Ali, M., Zain, J.M., Zolkipli M.F., Badshah, G.: Mobile cloud computing & mobile battery augmentation techniques: a survey. In: 2014 IEEE Student Conference on Research and Development (SCOReD), pp. 1–6. IEEE, Piscataway (2014)
3.
Al-Shamri, M.Y.H.: User profiling approaches for demographic recommender systems. Knowl.-Based Syst. 100, 175–187 (2016)CrossRef
4.
Bakıcı, T., Almirall, E., Wareham, J.: A smart city initiative: the case of Barcelona. J. Knowl. Econ. 4(2), 135–148 (Jun 2013)CrossRef
5.
Baltrunas, L., Ludwig, B., Peer, S., Ricci, F.: Context relevance assessment and exploitation in mobile recommender systems. Pers. Ubiquit. Comput. 16(5), 507–526 (2012)CrossRef
6.
Braunhofer, M., Elahi, M., Ricci, F.: Sts: a context-aware mobile recommender system for places of interest. In: UMAP Workshops. Citeseer, 2014.
7.
Buschmann, F., Henney, K., Schimdt, D.: Pattern-Oriented Software Architecture: On Patterns and Pattern Language, Vol. 5. John Wiley & Sons, Hoboken (2007)
8.
Colombo-Mendoza, L.O., Valencia-Garcia, R., Rodriguez-Gonzalez, A., Alor-Hernandez, G., Samper-Zapater, J.J.: Recommetz: a context-aware knowledge-based mobile recommender system for movie showtimes. Expert Syst. Appl. 42(3), 1202–1222 (2015)CrossRef
9.
10.
Dameri, R.P.: Smart City and Digital City Implementation: Two Best Practices in Europe, pp. 109–154. Springer, Berlin (2017)
11.
da Silva, W.M., Alvaro, A., Tomas, G.H.R.P., Afonso, R.A., Dias, K.L., Garcia, V.C.: Smart cities software architectures: a survey. In: Proceedings of the 28th Annual ACM Symposium on Applied Computing, pp. 1722–1727. ACM, New York (2013)
12.
de Gemmis, M., Lops, P., Musto, C., Narducci, F., Semeraro, G.: Semantics-aware content-based recommender systems. In: Recommender Systems Handbook, pp. 119–159. Springer, Boston (2015)
13.
Demers, A., Gehrke, J., Hong, M., Riedewald, M., Walker, W.: Towards expressive publish/subscribe systems. In: EDBT, vol. 6, pp. 627–644. Springer, Berlin (2006)
14.
Derwein, C., Beer, W., Hargassner, W., Herramhof, S.: General Framework for Context-Aware Recommendation of Social Events. IARIA, Vienna (2013)
15.
Gosling, S.D., Rentfrow, P.J., Swann, W.B.: A very brief measure of the big-five personality domains. J. Res. Pers. 37(6), 504–528 (2003)CrossRef
16.
Hasman, L.: An introduction to consumer health apps for the iphone. J. Consum. Health Internet 15(4), 322–329 (2011)CrossRef
17.
Jamshidi, P., Ahmad, A., Pahl, C.: Cloud migration research: a systematic review. IEEE Trans. Cloud Comput. 1(2), 142–157 (2013)CrossRef
18.
Jones, N.C., Meter, R.V., Fowler, A.G., McMahon, P.L., Kim, J., Ladd, T.D., Yamamoto, Y.: Layered architecture for quantum computing. Phys. Rev. X 2(3), 031007 (2012)
19.
Jung, H.-W., Kim, S.-G., Chung, C.-S.: Measuring software product quality: a survey of ISO/IEC 9126. IEEE Softw. 21(5), 88–92 (2004)CrossRef
20.
Khalid, O., Khan, M.U.S., Khan, S.U., Zomaya, A.Y.: OmniSuggest: a ubiquitous cloud-based context-aware recommendation system for mobile social networks. IEEE Trans. Serv. Comput. 7(3), 401–414 (2014)CrossRef
21.
Kitanov, S., Janevski, T.: State of the art: mobile cloud computing. In: 2014 Sixth International Conference on Computational Intelligence, Communication Systems and Networks (CICSyN), pp. 153–158. IEEE, Piscataway (2014)
22.
Lewis, G.A., Lago, P., Procaccianti, G.: Architecture strategies for cyber-foraging: preliminary results from a systematic literature review. In: European Conference on Software Architecture, pp. 154–169. Springer, Berlin (2014)CrossRef
23.
Medvidovic, N., Taylor, R.N.: Software architecture: foundations, theory, and practice. In: Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering, vol. 2, pp. 471–472. ACM, New York (2010)
24.
Mell, P., Grance, T.: The NIST definition of cloud computing. Commun. ACM 53(6), 50 (2010)
25.
Noguera, J.M., Barranco, M.J., Segura, R.J., MartíNez, L.: A mobile 3D-GIS hybrid recommender system for tourism. Inf. Sci. 215, 37–52 (2012)CrossRef
26.
Otebolaku, A.M., Andrade, M.T.: Supporting context-aware cloud-based media recommendations for smartphones. In: 2014 2nd IEEE International Conference Mobile Cloud Computing, Services, and Engineering (MobileCloud), pp. 109–116. IEEE, Piscataway (2014)
27.
Postel, J.: RFC 793: transmission control protocol, September 1981. Status: Standard 88 (2003)
28.
Rappaz, J., Vladarean, M.-L., McAuley, J., Catasta, M.: Bartering books to beers: a recommender system for exchange platforms. In: Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, WSDM ’17, pp. 505–514. ACM, New York (2017)
29.
Roberts, M., Ducheneaut, N., Begole, B., Partridge, K., Price, B., Bellotti, V., Walendowski, A., Rasmussen, P.: Scalable architecture for context-aware activity-detecting mobile recommendation systems. In: 2008 International Symposium on a World of Wireless, Mobile and Multimedia Networks, 2008. WoWMoM 2008, pp. 1–6. IEEE, Piscataway (2008)
30.
31.
Sanchez, F., Barrilero, M., Uribe, S., Alvarez, F., Tena, A., Menendez, J.M.: Social and content hybrid image recommender system for mobile social networks. Mob. Netw. Appl. 17(6), 782–795 (2012)CrossRef
32.
Sassi, I.B., Mellouli, S., Yahia, S.B.: Context-aware recommender systems in mobile environment: on the road of future research. Inf. Syst. 72, 27–61 (2017)CrossRef
33.
Satyanarayanan, M.: Mobile computing: the next decade. In: Proceedings of the 1st ACM Workshop on Mobile Cloud Computing & Services: Social Networks and Beyond, p. 5. ACM, New York (2010)
34.
Stuedi, P., Mohomed, I., Terry, D.: WhereStore: location-based data storage for mobile devices interacting with the cloud. In: Proceedings of the 1st ACM Workshop on Mobile Cloud Computing & Services: Social Networks and Beyond, p. 1. ACM, New York (2010)
35.
Su, J.-H., Wang, B.-W., Hsiao, C.-Y., Tseng, V.S.: Personalized rough-set-based recommendation by integrating multiple contents and collaborative information. Inf. Sci. 180(1), 113–131 (2010)CrossRef
36.
Szczerbak, M., Toutain, F., Bouabdallah, A., Bonnin, J.-M.: Collaborative context experience in a phonebook. In: 2012 26th International Conference on Advanced Information Networking and Applications Workshops (WAINA), pp. 1275–1281. IEEE, Piscataway (2012)
37.
Taleb, T., Dutta, S., Ksentini, A., Iqbal, M., Flinck, H.: Mobile edge computing potential in making cities smarter. IEEE Commun. Mag. 55(3), 38–43 (2017)CrossRef
38.
Tarus, J.K., Niu, Z., Kalui, D.: A hybrid recommender system for e-learning based on context awareness and sequential pattern mining. Soft. Comput. 1–13 (2017)
39.
Turban, E., Whiteside, J., King, D., Outland, J.: Mobile Commerce and the Internet of Things, pp. 167–199. Springer, Berlin (2017)
40.
Wang, T., Liu, L.: Privacy-aware mobile services over road networks. Proc. VLDB Endowment 2(1), 1042–1053 (2009)CrossRef
41.
Wang, S.-L., Chen, Y.L., Kuo, A.M.-H., Chen, H.-M., Shiu, Y.S.: Design and evaluation of a cloud-based mobile health information recommendation system on wireless sensor networks. Comput. Electr. Eng. 49, 221–235 (2016)CrossRef
42.
Wiesner, M., Pfeifer, D.: Health recommender systems: concepts, requirements, technical basics and challenges. Int. J. Environ. Res. Public Health 11(3), 2580–2607 (2014)CrossRef
43.
Yang, W.-S., Cheng, H.-C., Dia, J.-B.: A location-aware recommender system for mobile shopping environments. Expert Syst. Appl. 34, 437–445 (2008)CrossRef
44.
Yang, B., Lei, Y., Liu, J., Li, W.: Social collaborative filtering by trust. IEEE Trans. Pattern Anal. Mach. Intell. 39(8), 1633–1647 (2017)CrossRef
Metadata
Title
A Mobile Cloud Framework for Context-Aware and Portable Recommender System for Smart Markets
Authors
Aftab Khan
Aakash Ahmad
Anis Ur Rahman
Adel Alkhalil
Copyright Year
2020
Book
Smart Infrastructure and Applications

Print ISBN: 978-3-030-13704-5

Electronic ISBN: 978-3-030-13705-2

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-13705-2_12