چکیده مقاله
Within the emergence of social web web 2 0 , new platform in technology named social networks, brought in to being Social networks SN become more crowded and their rapidlygrowth caused scientists to search for methods analyzing the data which is implicated in social networks Social network analysis with special attention to SN’s graph is a method that helps data extraction These data could be used in targeted advertisements Ad which couldimpress users more In the field of e advertisements, presenting ads and sales are combined together using hypertexts or hypermedia to the nearest retailer or e shops So, targeted advertisement could be mentioned as an effective solution in the field of marketing on theweb Scientists have been focused on various variables and features that could be considered to target users in an appropriate way While mentioning them, some new features are added In this article, a framework has been proposed which facilitate targeted advertisements insocial networks’ platform; using social networks information, previous advertisements and their status to have more precise information for recommender systems Recommender system is used as a tool to target each user according to its preferences and interests Themain goal is to show the most effective advertisements in sidebar and attract users to shareword of mouth WOM advertisements with each other Considering user’s type through their activity in a social network and omitting repetitive advertisements ease our aim
کلیدواژهها
نویسندگان
شیوه ارجاع
Kardan, Ahmad.A and Hooman, Maryam,1392,Targeted Advertisement in Social Networks using Recommender Systems,7th International Conference on e- Commerce whit focus on e-Security,Kish Island
ارائهشده در
مجموعه مقالات هفتمین کنفرانس بین المللی تجارت الکترونیک در کشورهای در حال توسعه با رویکرد بر امنیت ECDC201328 فروردین 1392 · جزیره کیش