The aim is to develop a system that will generate recommendations of films to watch according to what the users want and how other users have rated them.

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

MSc Programmes

Agile Software Engineering Techniques (SET)

Web Applications and Services (WAS)

Advanced Computation Methods (ACM)

Advanced Software Engineering (ASE)

Advanced Computer Science (ACS)

Prerequisites

Excellent programming skills 

How to develop web based applications

Aims of project

 The aim is to develop a system that will generate recommendations of films to watch according to what the users want and  how other users have rated them.

Challenges presented by the project

Understand and find out

• different ways to ask users to rate films so that other users can find their own preferences.

• ways to  get users to make pairwise comparisons between films

• rating and matching methods.

• how to present the recommendation information to users.

Learning outcomes

Understanding how recommendation systems work.

Nature of end-product

A web-based film recommendation system

LightwaveRF API: https://github.com/pauly/lightwaverf Devices: https://lightwaverf.com/ Raspberry Pi: https://www.raspberrypi.org/

Phase 1: Mobile app development.

Phase 2: User evaluation.

Phase 3: Dissertation Writing.

References

[] Joaquín Torres-Sospedra, Joan Avariento, David Rambla and Raúl Montoliu - etal..

Enhancing integrated indoor/outdoor mobility in a smart campus, International Journal of Geographical Information Science (2015).

 

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