Abstract
In order to offer its customers a service that distinguishes the cable television company LIWEST from competitors, LIWEST wants to introduce a movie recommendation system for its customers.
In this thesis different movie recommendation systems are reviewed with regards to their usefulness for the LIWEST recommendation system. Since all reviewed recommendation systems, either involve charges, require exchange of sensitive customer data with external systems or cannot be attuned to the broadcasts available at LIWEST which is in contrast to the requirements of LIWEST, none of the reviewed systems can be used.
Therefore a new recommendation system, called WatchMe, has been developed. The development of this recommendation system is orientated on existing approaches for movie recommendation systems and adapts aspects of these approaches to meet the requirements of LIWEST.
The developed prototype shows that the approach works and that WatchMe is appropriate for generating recommendations for LIWEST customers. This is also illustrated by an example where the generation of a recommendation is shown from the customer’s perspective. In September 2015 LIWEST announced to bring the WatchMe prototype, developed in this diploma thesis, to maturity.
Original language | German (Austria) |
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Supervisors/Reviewers |
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Publication status | Published - Sept 2015 |
Fields of science
- 102 Computer Sciences
- 102010 Database systems
- 102015 Information systems
- 102016 IT security
- 102025 Distributed systems
- 102028 Knowledge engineering
- 102030 Semantic technologies
- 503008 E-learning
JKU Focus areas
- Computation in Informatics and Mathematics
- Management and Innovation