The Design and Implementation of a Business Intelligence Recommender

K. F. Li, G. Campbell, Allan Kumka, Chris Nesmith
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引用次数: 3

Abstract

Nowadays, search engines perform a reasonable job in finding the necessary information according to the user's needs. Optimizing to the needs of the general population, these search engines quite often fail business individuals who seek enterprise information pertaining to a particular industry. The Web-based Intelligence Recommender for Enterprise (WIRE) is designed to assist these business individuals. The system uses existing Internet search engines as a basis to collect relevant documents via links encountered during crawling. The pages visited are analyzed and given a score according to certain criteria tailored to the individual's or the organization's interest. The score of a document thus represents its suitability and validity for business use. Selected pages are ranked and presented to the user for further actions. In order to adapt to the individuality of the user and the uniqueness of the type of business, design emphasis is placed on modularity and extensibility of the Recommender.
商业智能推荐器的设计与实现
如今,搜索引擎在根据用户的需求寻找必要的信息方面做得很好。针对一般人群的需求进行优化,这些搜索引擎经常使寻求与特定行业相关的企业信息的企业个人失败。基于web的企业智能推荐器(WIRE)旨在帮助这些业务人员。该系统以现有的互联网搜索引擎为基础,通过抓取过程中遇到的链接收集相关文档。访问过的页面被分析,并根据个人或组织的兴趣定制的特定标准给出分数。因此,文档的分数代表了其对业务使用的适用性和有效性。所选页面被排序并呈现给用户以供进一步操作。为了适应用户的个性和业务类型的独特性,设计重点放在推荐器的模块化和可扩展性上。
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