Recalot.com: Towards a reusable, modular, and RESTFul social recommender system

Abstract

Many different recommender system (RS) frameworks have been developed by the research community. Most of these RS frameworks are designed only for research purposes and offline evaluation of different algorithms. A reuse of such frameworks in a productive environment is only possible with high effort. In this paper, we present a concept of a generic reusable RESTful recommender web service framework, designed to perform directly offline and online analysis for research and to use the recommender algorithms in production.