Detail

Publication date: 1 de June, 2021

Heuristic Optimisation of Clusterings: Case study of TV audience preferences

The HOC-TV project intends to apply heuristic optimisation techniques in order to find the best clustering of TV audience preferences: Given raw data about past programming grids and viewers’ program preferences, data mining (or KDD) methods are applied to identify useful and understandable features. These features are then used to form groups (clusters) in such a way that the individuals inside the same group have the most similar TV programming preferences, in other words, will choose to watch the same TV channel. Clustering algorithms are used to obtain partitions of the TV preferences.

Team

Fernando Moura Pires,

Results 2 papers during 2000, and implementation of a prototype.
State Concluded
Startdate 01/01/2000
Enddate 01/01/2000