TY - JOUR A2 - Lytras, Miltiadis D. AU - Alabdullatif, Abdullatif AU - Shahzad, Basit AU - alwawait, Esam PY - 2016 DA - 2016/05/05 TI -阿拉伯语推特用户分类:研究基于用户行为和利益SP - 8315281六世- 2016 AB -社交网络是最受欢迎的互动媒体今天由于其简单性和能力打破社会规则的障碍,他们的速度和增加压力的工作环境,使人们更加困难拜访或打电话给朋友。现在有很多社交网络产品，它们被广泛用于社交互动。随着线程数据量的增长，对公共和私人组织来说，从这么大的通信量中进行分析变得越来越困难。这项工作的一个重要应用是确定社会网络的趋势，这依赖于确定社区成员之间的关系。这不是一项微不足道的任务，因为它有许多挑战。社会成员之间共享的信息没有正式的数据结构，而是以文本、表情符号和多媒体的形式传播。解决这一问题的灵感在于，例如，如果一家公司正在为一种体育产品做广告，它很难在社交网络上找到对体育感兴趣的目标阿拉伯人样本。为此，本研究采用以实验为导向的方法。 A goal for this company is to discover users who have been interacting with other users who have the same interests, so they can receive the same type of message or advertisement. This information will help a company to determine how to develop advertisements based on Arab people’s interests. Examples of such work include the timely advertisement of the utilities that can be effectively marketed to increase the audience; for example, on the weekend days, the effective market approaches can yield considerable results in terms of increasing the sales and profits. In addition, finding an efficient way to recommend friends to a user based on interest similarity, celebrity degree, and online behaviour is of interest to social networks themselves. This problem is explored to establish and apply an efficient and easy way to classify a social network of Arab users based on their interests using available types of information, whether textual or nontextual, and to try to increase the accuracy of interest classification. Since most of the social networking is done from the mobiles nowadays, the efficient and reliable algorithm can help in developing a robust app that can perform the tweet classification on mobile phones. SN - 1574-017X UR - https://doi.org/10.1155/2016/8315281 DO - 10.1155/2016/8315281 JF - Mobile Information Systems PB - Hindawi Publishing Corporation KW - ER -