Towards context-aware data mining

迈向上下文感知数据挖掘

• 批准号: 312194-2011
• 负责人: Pei, Jian
• 金额: $ 3.57万
• 依托单位: Simon Fraser University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=595067
• 关键词: Towards; context; aware; data; mining

Communicating context of user requests to data mining applications remains a huge bottleneck. On the one hand, since data mining tasks are often complicated, it is very difficult for a user to completely express her sophisticated intent. On the other hand, data mining applications are often not designed well to understand context of user requests proactively and automatically. Fortunately, more and more online information retrieval and data mining applications, such as web search engines, online data analysis and business intelligence services, and online social networking sites, have accumulated user interaction history, for example, in various kinds of logs. Such user data may provide useful hints to understand context of user requests.

将用户请求的上下文传递给数据挖掘应用程序仍然是一个巨大的瓶颈。一方面，由于数据挖掘任务往往很复杂，用户很难完全表达她复杂的意图。另一方面，数据挖掘应用程序通常没有很好地设计为主动和自动地理解用户请求的上下文。幸运的是，越来越多的在线信息检索和数据挖掘应用，如网络搜索引擎、在线数据分析和商业智能服务，以及在线社交网站，已经积累了用户交互历史，例如，在各种日志中。这样的用户数据可以提供有用的提示来理解用户请求的上下文。