Dayzzi - Next Generation: Neural Recommendation System
At a glance
Recommendation systems are ubiquitous on digital platforms.
However, many systems rely either on the availability of large
amounts of data that allow for data-driven optimization
(collaborative filtering), or they are rather simple and lack
the possibility of intelligent recommendations. Especially in the
fields of life sciences and facility management, there are a large
number of potential applications of recommendation systems which
cannot be supported by large amounts of data. In such a case, the
possibility of intelligent recommendations is typically implemented
by an expert system, with the disadvantage that the data-based
learning capability of the system is mostly very limited.
To overcome this limitation, we are working together with Dayzzi to develop a novel hybrid recommendation system that combines an expert system with a learning neural module that enables online learning.