Gravity R&D is a recommendation engine provider, using machine learning to personalize digital customer experiences for SMEs and enterprises. The Budapest-based company has been focusing on data science since 2009, using machine learning and Big Data analytics to create personalized customer experiences for brands in various industries.
Gravity’s products, Yusp and Yuspify, help clients deliver better brand experiences, drive revenue growth and improve customer satisfaction. The company’s personalization solutions are able to provide 35+ billion personalized recommendations per month.
Gravity is also strong in R&D, and proud to have a data mining team active in the field of recommender systems. Gravity’s researchers are regular participants and presenters at top-notch conferences of the field.
Gravity is the recommender systems expert in the project. As such, they will lead the WP4 Context-aware collaborative recommendations for energy saving and indoor comfort control, with particular focus on user modelling (Task 4.2 Context-aware collaborative recommendations for energy saving and indoor comfort control and Task 4.3 Collaborative recommender for energy saving.