این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
صفحه اصلی
درباره پایگاه
فهرست سامانه ها
الزامات سامانه ها
فهرست سازمانی
تماس با ما
JCR 2016
جستجوی مقالات
پنجشنبه 27 آذر 1404
Journal of Industrial Engineering and Management Studies
، جلد ۹، شماره ۱، صفحات ۲۸-۳۷
عنوان فارسی
چکیده فارسی مقاله
کلیدواژههای فارسی مقاله
عنوان انگلیسی
Social media target marketing: Use of social networks data to target marketing
چکیده انگلیسی مقاله
Social networks provide marketing managers and businesses with opportunity to target their customers. By understanding the demographics of users, marketing managers can offer suitable products and services. Although direct questioning can be drawn upon to solicit users’ demographics such as age, some customers due to privacy concerns do not like to reveal their personal information and, it cannot come in handy for potential customer identification. The huge amount of data social networks generate can solve this problem. Previous studies in the prediction of demographic characteristics suffer some limitations because they were mainly text based and hence, language-bound. This study investigates how some interactive data can predict users’ age. Further, it examines if classification methods can be used for age prediction. The results revealed that the number of friends, number of opposite sex friends, number of comments received, and number of photos which users share can predict users’ age. Also, a linear relationship between interactive data and users’ age was found.
کلیدواژههای انگلیسی مقاله
social media target marketing,age identification,social network sites,interactive data and profile information
نویسندگان مقاله
Monireh Hosseini |
Department of Information Technology Engineering, Industrial Engineering Faculty, K.N. Toosi University of Technology, Tehran, Iran.
Zohreh Tammimy |
Department of Information Technology Engineering, Industrial Engineering Faculty, K.N. Toosi University of Technology, Tehran, Iran.
Elnaz Galavi |
Department of Information Technology Engineering, Industrial Engineering Faculty, K.N. Toosi University of Technology, Tehran, Iran.
نشانی اینترنتی
https://jiems.icms.ac.ir/article_143488_cb7077c6f73fdc5aa6c3b8436fc96f28.pdf
فایل مقاله
فایلی برای مقاله ذخیره نشده است
کد مقاله (doi)
زبان مقاله منتشر شده
en
موضوعات مقاله منتشر شده
نوع مقاله منتشر شده
برگشت به:
صفحه اول پایگاه
|
نسخه مرتبط
|
نشریه مرتبط
|
فهرست نشریات