CEU Electronic Theses and Dissertations, 2022
| Author | Balint Bojko |
|---|---|
| Title | Recommendation Engine for Investors/Traders: Exploring Options on Algorithmic Broker Recommendations |
| Summary | This research project explored multiple types of recommender engines that may be employed to automatize broker recommendations to site visitors by broker intelligence platform BrokerChooser. The four different types of recommender engines that were tested are: content-based filtering, user-based collaborative filtering, item-based collaborative filtering and matrix factorization based recommender models. Models were evaluated using an "offline" evaluation. Future steps were recommended towards building a real-time recommender solution for the platform. |
| Supervisor | Schindele, Ibolya |
| Department | Economics MSc |
| Full text | https://www.etd.ceu.edu/2022/bojko_balint.pdf |
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