• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>User modeling and user-adapted interaction >Inferring user interests in microblogging social networks: a survey
【24h】

Inferring user interests in microblogging social networks: a survey

机译：推断用户对微博社交网络的兴趣：一项调查

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

With the growing popularity of microblogging services such as Twitter in recent years, an increasing number of users are using these services in their daily lives. The huge volume of information generated by users raises new opportunities in various applications and areas. Inferring user interests plays a significant role in providing personalized recommendations on microblogging services, and also on third-party applications providing social logins via these services, especially in cold-start situations. In this survey, we review user modeling strategies with respect to inferring user interests from previous studies. To this end, we focus on four dimensions of inferring user interest profiles: (1) data collection , (2) representation of user interest profiles, (3) construction and enhancement of user interest profiles, and (4) the evaluation of the constructed profiles. Through this survey, we aim to provide an overview of state-of-the-art user modeling strategies for inferring user interest profiles on microblogging social networks with respect to the four dimensions. For each dimension, we review and summarize previous studies based on specified criteria. Finally, we discuss some challenges and opportunities for future work in this research domain.
机译：随着近年来诸如Twitter之类的微博客服务的日益普及，越来越多的用户在日常生活中使用这些服务。用户产生的大量信息为各种应用和领域带来了新的机遇。推断用户兴趣在提供有关微博服务以及通过这些服务提供社交登录的第三方应用程序的个性化建议中起着重要作用，尤其是在冷启动情况下。在本次调查中，我们回顾了从先前研究中推断用户兴趣方面的用户建模策略。为此，我们将重点放在推断用户兴趣档案的四个维度上：（1）数据收集；（2）用户兴趣档案的表示；（3）用户兴趣档案的构建和增强；以及（4）对构建的用户档案的评估个人资料。通过本次调查，我们旨在概述最新的用户建模策略，以针对四个维度推断微博社交网络上的用户兴趣状况。对于每个维度，我们将根据指定的标准回顾并总结以前的研究。最后，我们讨论了该研究领域未来工作的一些挑战和机遇。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号