Name
Title | ||
|---|---|---|
AKNOBAS: A knowledge-based segmentation recommender system based on intelligent data mining techniques. |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.2298/CSIS110722008R | COMPUTER SCIENCE AND INFORMATION SYSTEMS |
Keywords | Field | DocType |
Data Mining,Clustering,Information Systems,Artificial Intelligence,Use Case | Data science,Recommender system,Information system,Data mining,Computer science,Segmentation,Competitive advantage,Marshalling,Artificial intelligence,Business model,Cluster analysis,Machine learning | Journal |
Volume | Issue | ISSN |
9 | 2 | 1820-0214 |
Citations | PageRank | References |
5 | 0.44 | 18 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alejandro Rodríguez-González | 1 | 104 | 26.37 |
| Javier Torres-Niño | 2 | 17 | 2.46 |
| Enrique Jiménez-Domingo | 3 | 26 | 2.60 |
| Juan Miguel Gómez Berbís | 4 | 184 | 13.15 |
| Giner Alor-Hernández | 5 | 136 | 39.47 |