ارائه یک سرویس مکان مبنای همراه تبلیغاتی در محیط شهری بر مبنای مکان-آگاهی و معیارهای مطلوبیت
محورهای موضوعی :
سیستم اطلاعات جغرافیایی
محسن پرتوی
1
,
محمد حسن وحیدنیا
2
,
حسین آقا محمدی
3
1 - کارشناس ارشد سنجش از دور و GIS، دانشکده منابع طبیعی و محیط زیست، دانشگاه آزاد اسلامی واحد علوم و تحقیقات.
2 - استادیار گروه سنجش از دور و GIS، دانشکده منابع طبیعی و محیط زیست، دانشگاه آزاد اسلامی واحد علوم و تحقیقات. *(مسوول مکاتبات)
3 - استادیار گروه سنجش از دور و GIS، دانشکده منابع طبیعی و محیط زیست، دانشگاه آزاد اسلامی واحد علوم و تحقیقات.
تاریخ دریافت : 1399/11/20
تاریخ پذیرش : 1400/02/19
تاریخ انتشار : 1400/05/01
کلید واژه:
اپلیکیشن تبلیغات محور,
خدمات مکان مبنا,
مکان جو,
سیستم اطلاعات مکانی همراه,
چکیده مقاله :
زمینه و هدف: در سال های اخیر، استفاده از دستگاه های قابل حمل هوشمند به دلیل دسترسی آسان، قابل حمل بودن و همچنین رابط کاربری ساده تر، در مقایسه با کامپیوترهای رومیزی با استقبال بی نظیر کاربران و مدیران و فروشندگان ایرانی کالا مواجه شده است. به همین علت توسعه اپلیکیشن برای دستگاه های هوشمند در محیط کسب و کارهای اینترنتی ضرورت پیدا کرده است. هدف این تحقیق ارائه راهکاری است که بر مبنای مکان-آگاه بودن باعث هوشمندی و ارائه تبلیغات و خدمات هدفمند به کاربران شود.روش بررسی: این پژوهش با بررسی های به عمل آمده مدلی ارائه می دهد که اولاً دریافت و دسته بندی اطلاعات برخی مراکز خدماتی و تبادل سریع داده ها بین رسانه هوشمند (مانند موبایل، تبلت) و مراکز داده مانند سرویس های نقشه آنلاین گوگل انجام شود. ثانیاً برمبنای مولفه های خدمات مکان-مبنا، به منظور ارائه تبلیغات موثر به کاربران، مولفه های انتخاب مرکز خدمات رسانی و تبلیغ و ناوبری کاربر به سوی آن بر اساس اتصال سست در دستور کار قرار گرفت.یافته ها: به منظور برخورداری از ویژگی هایی از توصیه گری، سه معیار مطلوبیت یعنی معرفی گزینه نهایی بر اساس کوتاهترین مسیر در شبکه حمل و نقل، یا بر اساس امتیاز کاربران و یا بر اساس امتیاز تخصیص داده شده توسط صنف واحد خدماتی مربوطه مورد توجه قرار گرفت. نهایتاً اپلیکیشن "مکان جو" تحت سیستم عامل اندروید با بهره گیری از فناوری های نوین سیستم اطلاعات مکانی همراه و تحت وب بر اساس مدل ارائه شده اجرا شد.بحث و نتیجه گیری: نتایج حاصل از پرسشنامه با استفاده از درصد فراوانی پاسخ دهندگان در قالب آماری تحلیل شد و به شکل معنی داری حکایت از رضایت کاربران از برنامه، با انتخاب 55 درصدی گزینه عالی برای کیفیت، و انطباق آن با اهداف تعیین شده داشت به گونه ای که می تواند بخشی از خلأ ناشی از نرم افزار تبلیغاتی را پر نماید.
چکیده انگلیسی:
Background and Objective: In recent years, the use of smart mobile devices due to easy access, portability and also simpler user interface, compared to desktop computers has been met with unparalleled acceptance by Iranian users, managers and sellers of goods. That's why application development for smart devices in the internet businesses has become essential. The aim of this study is to find a solution based on location awareness to provide smart targeted advertising and services to users.Material and Methodology: This study provides a model that first handles and categorizes information from some service centers and quickly exchanges data between smart media (such as mobile, tablet) and data centers based upon online map services (Google Maps). Second, based on the components of location-based services (LBS), in order to provide effective advertising to users, the components of selecting the service center and advertising and navigation of the user to it were put on the agenda based on loose coupling strategy.Findings: In order to have the features of recommendation, three criteria of desirability, namely the introduction of the final option based on the shortest route in the transportation network, or based on user scores or based on scores allocated by the relevant service unit class were considered. Finally, the "Location Finder" application was implemented under the Android operating system using the new technologies of the mobile and web-based spatial information system through the proposed model.Discussion and Conclusion: The results of the questionnaire were statistically analyzed using the frequency of the respondents and significantly showed the users' satisfaction with the program, with 55 percent rating it as a great choice for quality, and its compliance with the set goals so that it could fill part of the gap caused by the advertising software.
منابع و مأخذ:
Wang W., Li G., Fung R.Y.K., and Cheng T.C.E., “Mobile Advertising and Traffic Conversion: The Effects of Front Traffic and Spatial Competition”, Journal of Interactive Marketing, Vol. 47, pp. 84-101, 2019.
Nour A., Hellinga B., and Casello J., “Classification of automobile and transit trips from Smartphone data: Enhancing accuracy using spatial statistics and GIS”, Journal of Transport Geography, Vol. 51, pp. 36-44, 2016.
Steiniger S., Neun M., and Edwardes A., “Foundation of location based services”, Cartography, Vol. 1, pp. 1-28, 2006.
Brimicombe A.J., and Li C., Location-based services and geo-information engineering. UK: Wiley, Chichester, 2009.
Lin J., Niu J., Li H., and Atiquzzaman M., “A Secure and Efficient Location-based Service Scheme for Smart Transportation”, Future Generation Computer Systems, Vol. 92, pp. 694-704, 2019.
Kleijnen M., De Ruyter K., and Wetzels M., “An assessment of value creation in mobile service delivery and the moderating role of time consciousness”, Journal of Retailing, Vol. 83(1), pp. 33-46, 2007.
Sadoun B., and Al-Bayari O., “Location based services using geographical information systems”, Computer Communications, Vol. 30, pp. 3154–3160, 2007.
Tsou M.H., “Integrated mobile GIS and wireless internet map services for environmental monitoring and management”, Cartography and Geographic Information Science, Vol. 31(3), pp. 153–165, 2004.
Peng Z.R., and Tsou M.H., Internet GIS: Distributed geographic information services for the Internet and wireless networks. New Jersey, John Wiley & Sons, 2003.
Raubal M., Miller H., and Bridwell S., “User centered time geography for location-based services”, Geografiska Annaler. Series B: Human Geography, Vol. 86, pp. 245–265, 2004.
Raper J., Gartner G., Karimi H.A., and Rizos C., “Applications of location-based services: a selected review”, Journal of Location Based Services, Vol. 1(2), pp. 89-111, 2007.
Kang J., Mun J., and Johnson, K., “In-store mobile usage: Downloading and usage intention toward mobile location-based retail apps”, Computers in Human Behavior, Vol. 46, pp. 210–217, 2015.
Sun G., Xie Y., Liao D., Yu H., and Chang V., “User-defined privacy location-sharing system in mobile online social networks”, Journal of Network and Computer Applications, Vol. 86, pp. 34-45, 2017.
Wu C.H., Kao S.C., Wu C.C., and Huang S., “Location-aware service applied to mobile short message advertising: Design, development, and evaluation”, Information Processing & Management, Vol. 51(5), pp. 625-642, 2015.
Chen T.C.T., “Ubiquitous clinic recommendation by predicting a patient’s preferences”, Electronic Commerce Research and Applications, Vol. 23, pp. 14-23, 2017.
Umanets A., Ferreira A., and Leite N., “GuideMe – A Tourist Guide with a Recommender System and Social Interaction”, Procedia Technology, Vol. 17, pp. 407-414, 2014.
Tsai C.Y., Li M.H., and Kuoc R.J., “A shopping behavior prediction system: Considering moving patterns and product characteristics”, Computers & Industrial Engineering, Vol. 106, pp. 192-204, 2017.
Vahidnia M.H., Hosseinali F., and Shafiei M., “Crowdsource mapping of target buildings in hazard: the utilization of smartphone technologies and geographic services”, Applied Geomatics, Vol. 12 (1), pp. 3-14, 2020.
Vahidnia M.H., Vahidi H., “Open community-based crowdsourcing geoportal for earth observation products: A model design and prototype implementation”, ISPRS International Journal of Geo-Information. Vol. 10(1), pp. 24, 2021.
Rostampour Z., “Mobile geographic information system and its application in urban area management”, National Electronic Conference on New Achievements in Engineering and Basic Sciences, Tehran, Iran, 2014. (In Persian)
Beizavi J., and Molaeizadeh A., “Mobile tourist guide”, In Proceedings of the Second Internationl Conference on Digital City, Tehran, Iran, 2009. (In Persian)
Azizkhani M., and Malek M.R., “Design and implement a location bassed system for targeted advertising”, Geospatial Engineering Journal, Vol. 9(2), pp. 11-16, 2018. (In Persian)
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Wang W., Li G., Fung R.Y.K., and Cheng T.C.E., “Mobile Advertising and Traffic Conversion: The Effects of Front Traffic and Spatial Competition”, Journal of Interactive Marketing, Vol. 47, pp. 84-101, 2019.
Nour A., Hellinga B., and Casello J., “Classification of automobile and transit trips from Smartphone data: Enhancing accuracy using spatial statistics and GIS”, Journal of Transport Geography, Vol. 51, pp. 36-44, 2016.
Steiniger S., Neun M., and Edwardes A., “Foundation of location based services”, Cartography, Vol. 1, pp. 1-28, 2006.
Brimicombe A.J., and Li C., Location-based services and geo-information engineering. UK: Wiley, Chichester, 2009.
Lin J., Niu J., Li H., and Atiquzzaman M., “A Secure and Efficient Location-based Service Scheme for Smart Transportation”, Future Generation Computer Systems, Vol. 92, pp. 694-704, 2019.
Kleijnen M., De Ruyter K., and Wetzels M., “An assessment of value creation in mobile service delivery and the moderating role of time consciousness”, Journal of Retailing, Vol. 83(1), pp. 33-46, 2007.
Sadoun B., and Al-Bayari O., “Location based services using geographical information systems”, Computer Communications, Vol. 30, pp. 3154–3160, 2007.
Tsou M.H., “Integrated mobile GIS and wireless internet map services for environmental monitoring and management”, Cartography and Geographic Information Science, Vol. 31(3), pp. 153–165, 2004.
Peng Z.R., and Tsou M.H., Internet GIS: Distributed geographic information services for the Internet and wireless networks. New Jersey, John Wiley & Sons, 2003.
Raubal M., Miller H., and Bridwell S., “User centered time geography for location-based services”, Geografiska Annaler. Series B: Human Geography, Vol. 86, pp. 245–265, 2004.
Raper J., Gartner G., Karimi H.A., and Rizos C., “Applications of location-based services: a selected review”, Journal of Location Based Services, Vol. 1(2), pp. 89-111, 2007.
Kang J., Mun J., and Johnson, K., “In-store mobile usage: Downloading and usage intention toward mobile location-based retail apps”, Computers in Human Behavior, Vol. 46, pp. 210–217, 2015.
Sun G., Xie Y., Liao D., Yu H., and Chang V., “User-defined privacy location-sharing system in mobile online social networks”, Journal of Network and Computer Applications, Vol. 86, pp. 34-45, 2017.
Wu C.H., Kao S.C., Wu C.C., and Huang S., “Location-aware service applied to mobile short message advertising: Design, development, and evaluation”, Information Processing & Management, Vol. 51(5), pp. 625-642, 2015.
Chen T.C.T., “Ubiquitous clinic recommendation by predicting a patient’s preferences”, Electronic Commerce Research and Applications, Vol. 23, pp. 14-23, 2017.
Umanets A., Ferreira A., and Leite N., “GuideMe – A Tourist Guide with a Recommender System and Social Interaction”, Procedia Technology, Vol. 17, pp. 407-414, 2014.
Tsai C.Y., Li M.H., and Kuoc R.J., “A shopping behavior prediction system: Considering moving patterns and product characteristics”, Computers & Industrial Engineering, Vol. 106, pp. 192-204, 2017.
Vahidnia M.H., Hosseinali F., and Shafiei M., “Crowdsource mapping of target buildings in hazard: the utilization of smartphone technologies and geographic services”, Applied Geomatics, Vol. 12 (1), pp. 3-14, 2020.
Vahidnia M.H., Vahidi H., “Open community-based crowdsourcing geoportal for earth observation products: A model design and prototype implementation”, ISPRS International Journal of Geo-Information. Vol. 10(1), pp. 24, 2021.
Rostampour Z., “Mobile geographic information system and its application in urban area management”, National Electronic Conference on New Achievements in Engineering and Basic Sciences, Tehran, Iran, 2014. (In Persian)
Beizavi J., and Molaeizadeh A., “Mobile tourist guide”, In Proceedings of the Second Internationl Conference on Digital City, Tehran, Iran, 2009. (In Persian)
Azizkhani M., and Malek M.R., “Design and implement a location bassed system for targeted advertising”, Geospatial Engineering Journal, Vol. 9(2), pp. 11-16, 2018. (In Persian)
