PAA logoPAA: Personalized Recommendations in Web Augmentation Applications

Welcome to the PAA research prototype website.

In this project we employ so-called Web Augmentation Techniques which allow the modification and personalization of existing third-party web sites on the Internet. Therefore, we provide a Recommender System web service, with a corresponding JavaScript library for simple integration in User Scripts. This allows, for example, the adding of personalized drink recommendations on a web site with cocktail recipes. Furthermore, we have developed a Recommender-System-Creator Firefox sidebar plugin, which allows the generation of such user scripts by users without any programming skills.

For more information on the Firefox sidebar plugin, please go to the RecSys-Creator Website. For instructions how to use or develop scripts yourself, please have a look at the PAA Documentation (also includes all the material to reproduce our work, such as source code).

You may also want to refer to the following scientific publication:

Martin Wischenbart, Sergio Firmenich, Gustavo Rossi, Manuel Wimmer,
Recommender Systems for the People - Enhancing Personalization in Web Augmentation,
Proceedings of the Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2015)
co-located with ACM Conference on Recommender Systems (RecSys 2015), Vienna, Austria, September 19, 2015.

Questions or comments? martin@cis.jku.at

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