Thesis topics Recommender Systems 2019-2020
- Beating the stock market: data analysis for predicting future share prices.
- Design and development of a Health Recommender Systems
- Design of a recommender systems that is robust for attacks by malicious users
- Detecting relevant context parameters and incorporating these into a recommender system
- Drive lane detection using accelerometer and GPS signal
- Improve your badminton skills based on localization and motion tracking
- Indoor soccer player performance analysis based on location, heart rate and activity monitoring
- Location estimation exploiting sensor data of mobile device and pattern recognition
- Machine Learning Versus Classic Recommenders
- Multi-objective optimization using evolutionary algorithms in production scheduling for intelligent manufacturing
- Music recommendation using genetic programming
- Recommending healthy recipes for groups of users.
- Using Machine Learning for Improving Indoor Positioning
- Using wearables for innovative human-computer interaction