COPEN:基于corba的智能推送引擎

B. Yoon, J. J. You, Soo Dong Kim
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引用次数: 3

摘要

在Internet上搜索正确的信息是一项耗时的任务,这主要是由于网络上的信息流很大,以及HTTP协议的性质。为了提高搜索效率,我们引入了推送技术,只提供预先选择的信息类型。然而,目前的推送技术采用了一种简单的方法来定义用户的偏好;让用户在菜单中选择正确的项目或键入感兴趣的url。因此,推送引擎所推送的信息不能满足用户的兴趣,缺乏搜索的准确性。此外,HTML页面传输给用户时没有进行任何分解、抽象或重新包装,产生了大量的信息流。本文提出了一种基于Java和CORBA的智能推送引擎COPEN。COPEN的客户端部分监控和拦截用户与Web服务器之间的交互,以智能地制定用户的兴趣。COPEN的服务器端根据设定的兴趣进行Web搜索,将信息打包,并将打包后的信息传输到用户本地数据库。为了克服Java Security Manager的存储访问限制,我们开发了一个基于Java/ orb的拦截器,可以管理客户端计算机上的缓存数据库。因此,用户的兴趣被动态地、无声地监控、维护在用户配置文件中,信息根据用户的兴趣被智能地搜索,并预先传输到缓存数据库,以便更快地检索。
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COPEN: a CORBA-based intelligent push-engine
Searching the right information on the Internet is a time-consuming task, mainly due to the large amount of information flow on the network and the nature of HTTP protocol. Push technology has been introduced in order to increase the search efficiency by providing only the pre-selected types of information. However, current push technique employs a simple method of defining users' preferences; letting the users select the right items in the menu or type the URLs interested. As a result, the information pushed by the push-engine does not satisfy much of the users' interest, lacking the search accuracy. Moreover, the HTML pages are transmitted to the user without any factoring, abstraction or re-packaging, yielding a large amount of information flow. In this paper, we present an intelligent push-engine, COPEN, that is based on Java & CORBA. The client part of COPEN monitors and intercepts the interaction between the user and the Web server in order to intelligently formulated the interests of the user. Based on the interests formulated, the server side of COPEN searches the Web, packages the information and transmits the packaged information to the user's local database. In order to overcome the storage access restriction of Java Security Manager, we developed an Java/ORB-based interceptor that can manage the cache database on the client's computer. As the result, the user's interest is dynamically and silently monitored, maintained in user profiles, information is intelligently searched based on the user's interests, and pre-transmitted to the cache database for faster retrieval.
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