Adaptive User Profiling in Enhancing RSS-based Information Services

Limin Zeng, Yong Zhang, R. Qiu
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引用次数: 5

Abstract

Although there are many web-based information service systems available, it is still not an easy job in navigating through the Internet to get the needed information service in a timely manner. This paper investigates a practical approach to deploying just-in-time assistive information services on the Internet. As a preliminary exploration, the RSS technology is used to assure that the information service is up-to-date. When combined with one-time Rocchio feedback and many-times Rocchio feedback, information services can be well filtered and aggregated to meet the needs of personalization, and become more just-in-time assistive. A prototyped news service system is built to validate the applicability of the proposed methodology.
自适应用户分析增强基于rss的信息服务
虽然有许多基于网络的信息服务系统,但通过互联网导航,及时获得所需的信息服务仍然不是一件容易的事情。本文研究了一种在互联网上部署即时辅助信息服务的实用方法。作为一个初步的探索,RSS技术被用来确保信息服务是最新的。当与一次性和多次Rocchio反馈相结合时,信息服务可以很好地过滤和聚合,以满足个性化的需求,并变得更加及时的辅助。建立了一个原型新闻服务系统来验证所提出方法的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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