These webpages contain theses and reports by students affiliated with the various bachelor and master programmes offered at the Leiden Institute of Advanced Computer Science
(LIACS),
the computer science and artificial intelligence department of Leiden University.
Note: this thesis repository might be incomplete for certain programmes.
The following thesis was written by a student in the 2012-2013 class of the Master Media Technology programme at Leiden University.
Thesis details
Title | Affective Metadata from Movies Helps Predict a Viewer’s Mood for Mood-based Recommenders |
Student | Kindt, Tijl |
Programme | Master Media Technology |
Year | 2012-2013 |
Supervisors | Lamers, dr. M.H. (Maarten) Broekens, dr.ir. D.J. (Joost) |
Citation details
Kindt, Tijl, Affective Metadata from Movies Helps Predict a Viewer’s Mood for Mood-based Recommenders, Thesis Master Media Technology, LIACS, Leiden University, 2013.