Predictive Analytics in Electronic Negotiations

Intelligent electronic negotiation systems which are capable of predicting the negotiator's behavior during the negotiation process and providing recommendations to the negotiator would generate significant added value in terms of negotiation utility

The project "Predictive Analytics in Electronic Negotiations" investigates the development of predictive learning models as the most important component of Recommender Systems. These systems have a great potential to support users of negotiation support systems in terms of strategic behavior. In this process, underlying electronic negotiation data are processed in a process-oriented manner through the use of data mining methods and machine learning methods in the data science context, resulting in future-oriented recommendations.