Title :
The Design and Implementation of a Business Intelligence Recommender
Author :
Li, Kin Fun ; Campbell, Graham ; Kumka, Allan ; Nesmith, Chris
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Victoria, Victoria, BC, Canada
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.
Keywords :
Internet; business data processing; recommender systems; search engines; WIRE; Web-based intelligence recommender for enterprise; business intelligence recommender; enterprise information; general population; search engines; Bismuth; Business; Data mining; Engines; Google; Search engines; Wires; Web search; business intelligence; competitive intelligence; page ranking; recommender;
Conference_Titel :
P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), 2011 International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4577-1448-1
DOI :
10.1109/3PGCIC.2011.40