Augmented decision making capabilities for innovation management and continuous improvement by organizations

In this project, our goal is to set up a framework of data collection to support user profiling which could be used to identify influential users in decision-making. The profile will be built based on the information of individual users obtained by collecting user activities in rewarding challenges that encourage employees, customers and partners to participate. In order to derive the profile, natural language processing tools are applied to extract useful information. After the user profile is obtained, we will conduct profile analysis which obtains user decision-making weight index, that is, the larger the index, the greater weight will be assigned to the individual in future decisions. In addition to the decision-making weight index, user interest can be extracted, such that subsequent services could be targeted on those influencers to increase efficiency.

Faculty Supervisor:

Linglong Kong

Student:

Lei Ding

Partner:

Output Services Inc

Discipline:

Mathematics

Sector:

Information and communications technologies

University:

Program: