+TV4E recommender system

The +TV4E Project[1] is an interactive television platform which allows automatically the enrichment of television experience with the integration of social contents. In order to achieve a more compelling and personalized approach a system for recommending video contents according to the users' preferences.

This system has been developed in the scope of a PhD research [2] in the context of the Doctoral Program of Information and Communication in Digital Platforms (University of Aveiro, Portugal). It proposes a context aware recommender system (CARS) of informative contents about Assistance Services of General Interest for the Elderly (ASGIE), for later exhibition on an Interactive TV (iTV) platform. The motivation of this research is to enhance the TV watching experience and promote seniors’ autonomy, wellbeing and info-inclusion by providing personalized high-valued informative contents.

An example of installation of this code was installed in a web server for tests with potential end users and can be found at http://79.137.39.168:8080.

Installation/Configuration guide:

System requirements:

• Ubuntu 16.04
• Redis DB (Click here for instructions)
• Python 3.5.x
• Python3-TK library (sudo apt-get install python3-tk)
• Python MySQL integration library (sudo apt-get install libmysqlclient-dev)

For windows users it's a good idea to install the Anaconda package. Anaconda is the leading open data science platform powered by Python (according to their homepage) Anaconda

Download code

> git clone https://github.com/davidcampelo/tv4e-recommender

Create a virtual environment for the project

Look at the following guide for more details guide

> cd tv4e-recommender
> virtualenv tv4e_project -p python-2.7

To start/open your development environment:

> source tv4e_project/bin/activate

To close your development environment:

> deactivate

if you are running Anaconda you can also use conda virtual environment instead.

Get the required packages

pip install -r requirements.txt

Configure REDIS

First, make sure you have a local redis instance running. The engine expects to find redis at redis://localhost:6379. For any different configuration please check the tv4e/settings.py file.

Create the DB migrations

If you have a database running on your machine I would encourage you to connect it, by updating the settings in tv4_recommender/settings.py

To set up another database is described in the Django docs here

> python manage.py makemigrations
> python manage.py migrate

Start the web server

To start the development server run:

> python manage.py runserver 127.0.0.1:8001

Running the server like this, will make the website available http://127.0.0.1:8001 other applications also use this port so you might need to try out 8002 instead.

Closing down.

• when you are finished running the project you can exit the virtual env:

> deactivate

References

Please cite +TV4E Project if it helps your research. You can use the following BibTeX entries:

[1]
@inproceedings{Campelo:2017:RPI:3084289.3084292,
	 author = {Campelo, David and Silva, Telmo and Ferraz de Abreu, Jorge},
	 title = {Recommending Personalized Informative Contents on iTV},
	 booktitle = {Adjunct Publication of the 2017 ACM International Conference on Interactive Experiences for TV and Online Video},
	 series = {TVX '17 Adjunct},
	 year = {2017},
	 isbn = {978-1-4503-5023-5},
	 location = {Hilversum, The Netherlands},
	 pages = {99--103},
	 numpages = {5},
	 url = {http://doi.acm.org/10.1145/3084289.3084292},
	 doi = {10.1145/3084289.3084292},
	 acmid = {3084292},
	 publisher = {ACM},
	 address = {New York, NY, USA},
	 keywords = {context-aware, elderly, info-inclusion, interactive tv, recommender systems},
}