AKNOBAS: A Knowledge-based Segmentation Recommender System based on Intelligent Data Mining Techniques

Computer Science and Information Systems

Alej¹  ro Rodríguez-González² 

[1] Computer Science Department, University Carlos III of Madrid;División de Estudios de Postgrado e Investigación, Instituto Tecnológico de Orizaba

关键词: Data Mining;    Clustering;    Information Systems;    Artificial Intelligence;    Use Case;   

DOI  :  10.2298/CSIS110722008R

学科分类：社会科学、人文和艺术（综合）

来源: Computer Science and Information Systems

【 摘 要 】

Recommender Systems have recently undergone an unwavering improvement in terms of efficiency and pervasiveness. They have become a source of competitive advantage in many companies which thrive on them as the technological core of their business model. In recent years, we have made substantial progress in those Recommender Systems outperforming the accuracy and added-value of their predecessors, by using cutting-edge techniques such as Data Mining and Segmentation. In this paper, we present AKNOBAS, a Knowledge-based Segmentation Recommender System, which follows that trend using Intelligent Clustering Techniques for Information Systems.The contribution of this Recommender System has been validated through a business scenario implementation proof-of-concept and provides a clear breakthrough of marshaling information through AI techniques.

【 授权许可】

CC BY-NC-ND