Creating serendipity (i.e. “pleasant surprises for users”) is a primary goal of intelligent recommender systems. This project proposes an interdisciplinary approach to enhance the serendipity of TV recommendations that combines complementary knowledge from three disciplines – Computer Science, Language & Cognition and Communication Science.
- Lora Aroyo
- Raj Bhalwankar
- Allison Eden
- Nichita Utiu
- Valentina Maccatrozzo
- Gerard Steen
- Tilo Hartmann
- Paul Groth