Pinteresting:更好地了解用户兴趣

Ana-Maria Popescu
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引用次数: 6

摘要

基于兴趣的社交网络的优势允许在既定和新任务的背景下开发更好的用户兴趣模型,将兴趣与人口统计学特征联系起来,研究用户兴趣在时间和地点方面的变化,或挖掘兴趣数据以构建广泛有用的资源。这篇文章的重点是Pinterest,一个正在成长的社交书签网站;它确定了改善用户体验和将Pinterest数据用于更广泛用途的研究途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pinteresting: towards a better understanding of user interests
The ascendance of interest-based social networks allows for developing better models of user interest in the context of established and new tasks, connecting interests with demographic characteristics, studying changes in user interests with respect to time and location or mining interest data to build broadly useful resources. This submission focuses on Pinterest, a growing social bookmarking site; it identifies research avenues for improving the user experience and for exploiting Pinterest data for broader uses.
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