Design Context Aware Activity Recommender System for Iranian Customer Mind Activism in Online Shopping
سال انتشار: 1392
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 797
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شناسه ملی سند علمی:
JR_ACSIJ-2-5_013
تاریخ نمایه سازی: 24 فروردین 1393
چکیده مقاله:
E-commerce has made life simple and innovative of individuals and groups. Nowadays, social networks are widely used by everyone. So, it is necessary to do appropriate and situationaware activities in these networks to gain benefits, In this research, a context aware recommender system has modeled forusing in social networks focus on Iranian customer mind activism in online shopping. This system makes its recommendations for user based on behavior and activities of her friends in the same situation in social network. In other word, this modeled recommender system uses collaborativefiltering algorithm. All the connections of user in social network, containing direct and indirect, are considered for recommendingby recommender system; but, based on connection type and its distance to user, proportional factor is assigned. On the other, Inthis research we study the consumer behavior in online shopping of electronics especially in Iran. Primary data was collected through the questionnaire survey and by emails from personal contacts in two major cities of Iran. Price, time saving and convenience were identified as important factors which lead to certain buying behavior in online shopping.
کلیدواژه ها:
نویسندگان
Saber Pahlavan
Sama Technical and Vocational Training College, Islamic Azad University,Amol Branch, Amol, Iran
Morteza Hajizadeh
Tourism Departman, Allameh University,Mollakola, Mahmudabad,Mazandaran ۴۶۳۴۱۴۵۶۵۰, Iran
Adel Azadkhah
Industrial Engineering, Azad University Of Shiraz,sorkhrud,Mahmudabad, Mazamdaran ۴۶۳۴۱۴۵۳۴۹, Iran
Ali Ansarifard
Manegment Departman,Azad University Of ghaemshahr sorkhrud,Mahmudabad, Mazamdaran ۴۶۳۴۱۴۵۳۴۹, Iran