Recommenders, personalisation and advertising¶
Predicting what a particular person will engage with -- click-through, preference profiles, news personalisation and recommendation from multimodal signals -- and the editorial questions that follow.
5 supervised theses. See all supervised theses for the full list, or open topics if you are looking for one to take on.
| Level | Author | Title | Date | Industry | Recording |
|---|---|---|---|---|---|
| MSc | T. Kontola | Predicting user web behaviour with machine learning methods | Jan. 2024 | Columbia Road Oy | |
| MSc | V. Toivonen | Determining User Preference Profiles from Email And User Engagement Data | Oct. 2024 | Vibemetrics Oy | video |
| MSc | Z. Zhou | Building information modeling connection recommendation based on machine learning using multimodal information | Aug. 2023 | video | |
| MSc | Á. C. Barcsa-Szabó | Feature-based approaches for ethical news personalisation | Aug. 2022 | Sanoma Media | |
| MSc | J. Seppälä | Application of machine learning to link click predictions in Facebook Family of Apps advertising | 2021 |