A recommendation engine (or system) is an algorithm that analyzes the user behavior to suggest items which they are likely to prefer. A recommendation system uses data analysis techniques to figure out the items that match the users’ taste & preferences. The ultimate aim of any recommendation engine is to stimulate demand and engage users. Recommendation engines can have many use cases like in entertainment, e-commerce, mobile apps, education, etc. In general, a recommendation engine can come in handy wherever there is a need to give personalized suggestions and advice to users.
TOSALL’s Machine learning enabled recommendation Engine is a customizable and platform agnostic algorithm that can be used for almost all sort of recommending applications. This includes but not limited to Movie recommendations, E-commerce recommendations and for predicting users other preferences based on the training data fed to the engine. Engine has a capability to learn and adapt the presented recommendations over the period of time.