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首页> 外文会议>2016 Third International Conference on Computing Measurement Control and Sensor Network >A New Method for Identifying Users Interest for Personalized Recommendations
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A New Method for Identifying Users Interest for Personalized Recommendations

机译：一种识别用户个性化推荐兴趣的新方法

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摘要

Social Media encourages users to participate more interactions in Internet. They could share, interact, post the activity. In social networks relation could be defined by post and like to each other status. This data is like a treasure vault waiting to be utilized by the system to develop the recommendation systems. We propose a novel method to make personalized recommendation system which utilizes the user affecting index, user interest, user influences and familiarity between users. There are three purposes in this paper. The first one is to find the central user of social network and his/her influences to the other users. The next one is to find the correlation between user's attribute and other user's in social network. Finally, to discover the opposite users those have the least influences. The relationships of users and users could be utilized to make recommendation of items in social media.
机译：社交媒体鼓励用户在Internet中参与更多互动。他们可以共享，互动​​，发布活动。在社交网络中，关系可以通过职位和彼此相似的状态来定义。该数据就像等待系统用于开发推荐系统的宝库。我们提出了一种新颖的制作个性化推荐系统的方法，该系统利用了用户影响指数，用户兴趣，用户影响以及用户之间的熟悉度。本文有三个目的。第一个是找到社交网络的中心用户及其对其他用户的影响。下一步是在社交网络中找到用户属性与其他用户之间的关联。最后，发现对方的影响最小。用户和用户之间的关系可以用来推荐社交媒体中的项目。

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