Implications For Hybridization of Recommender System and Heuristic Algorithms Based On The Bacterial Foraging Algorithm

Authors

Carsten Mueller Dr., University of Economics Nam. W. Churchilla 4, 130 67 PragueFollow
Rick Radewagen Dr., Department of Applied Informatics Baden-Wuerttemberg Cooperate State University, Lohrtalweg 10Follow

Abstract

In this paper; we present our intensive research developing a high-performance and scalable Recommender System that is based on the heuristic Bacterial Foraging Algorithm. Our researcher illustrate opportunities to significantbr improve the performance of Item Based Recommender Systems up to 600 percent. Key Words: Data mining, reeommender system, bacterial foraging algorithm, hybrid software architecture

Recommended Citation

Mueller, C., & Radewagen, R. (2016). Implications For Hybridization of Recommender System and Heuristic Algorithms Based On The Bacterial Foraging Algorithm. IMT Case Journal, 6(1), 1-8. https://jetbm.imtnagpur.ac.in/journal/vol6/iss1/1