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Tagpref: User Preference Modeling by Social Tagging

机译:Tagpref:通过社交标签进行用户偏好建模

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摘要

User preference modeling is the basis for the provision of personal information services because it can reflect the user's characteristics and interests. Tagging is a popular online activity that allows a user to discover, describe, and organize Internet contents. Tagging provides a new means of creating user preference. Tags explain and describe items so that a user's attitude toward a tag is his or her attitude toward an aspect of the item. In this paper we design Tagpref inspired by the method of establishing user preference with tags. The user's preference was described by the user's preference degrees for different tags. Different algorithms were proposed and evaluated for taggers and non-taggers on Movie Lens based on direct and indirect behavior. Evaluation results show that the proposed algorithms can accurately predict a user's tag preference. The user's attitude toward tag preference was also analyzed. Users' true preference was determined by an online user survey.
机译:用户偏好建模是提供个人信息服务的基础,因为它可以反映用户的特征和兴趣。标记是一种流行的在线活动,它使用户可以发现,描述和组织Internet内容。标记提供了一种创建用户首选项的新方法。标签解释和描述项目,以便用户对标签的态度就是他或她对项目方面的态度。在本文中,我们受标签建立用户偏好的方法启发,设计了Tagpref。通过针对不同标签的用户偏好程度来描述用户的偏好。提出了不同的算法,并基于直接和间接行为对电影镜头上的标记器和非标记器进行了评估。评估结果表明,所提出的算法可以准确预测用户的标签偏好。还分析了用户对标签偏好的态度。用户的真实偏好是通过在线用户调查确定的。

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