The week's pick
Reseach Article
A Survey: A Social Explanation System Applied to Group Recommendations
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 178 - Number 18 |
| Year of Publication: 2019 |
| Authors: Aakanksha Thakur, Chetan Gupta |
10.5120/ijca2019919000
|
Aakanksha Thakur, Chetan Gupta . A Survey: A Social Explanation System Applied to Group Recommendations. International Journal of Computer Applications. 178, 18 ( Jun 2019), 1-6. DOI=10.5120/ijca2019919000
Abstract
Recommendation systems are currently successful solutions to enable online users to access information that meets their preferences and needs in congested environments. In recent years, various methods have been developed to improve their performance. This paper provide an overview of the use of fuzzy tools in recommended systems to identify common research topics and the pillars examined and to identify candidates for future research lines to support current societal developments. Based recommendation systems there is a need to research analytical analytics systems that design the design and development of the reporting system, not just the latest products. This design and development process uses analysis, visual design analysis, information modification approaches, and scientific research. In addition, experiments are required to determine the impact of these systems on learning behaviour, its range, and capabilities to add to the small evidence available.
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