Paper Info
Title
Stock Recommendation Platform Based on the Environment. INSIDER.
Abstract
The research presented in this paper, focuses on an investment recommendation system for businesses in order to provide investment related suggestions. For this purpose, it is identified different factors that could be extracted from the internet and from the information provided by the users. Currently, the research is in its initial stage, it has been reviewed the literature on data based techniques for investment recommendations, which will provide a complete overview of the methodologies, techniques and recent developments in this field. Once the state of the art has been reviewed, the platform model developed through a virtual organization of agents, called INSIDER.
Year
DOI
Venue
2018
10.1007/978-3-319-99608-0_53
DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE
Keywords
Field
DocType
Recommender system,Virtual organization of agents,Hybrid A. I. algorithm,Investment decisions
Data science,Recommender system,Computer science,Insider,Investment decisions,Distributed computing,The Internet,Virtual organization
Conference
Volume
ISSN
Citations 
801
2194-5357
0
PageRank 
References 
Authors
0.34
34
1
Name
Order
Citations
PageRank
Elena Hernández Nieves161.41