{"title":"The Design and Implementation of a Business Intelligence Recommender","authors":"K. F. Li, G. Campbell, Allan Kumka, Chris Nesmith","doi":"10.1109/3PGCIC.2011.40","DOIUrl":null,"url":null,"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.","PeriodicalId":251730,"journal":{"name":"2011 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/3PGCIC.2011.40","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.