Features

Predictive Intelligence

Recommendations based on content tags or metadata.
Recommendations based on content metadata and users views.

Recommendations based on content metadata, user views and User Profiles.

Recommendations based on content metadata and users ratings.
Recommendations based on content metadata, users ratings and user profiles.
Scenario for “people that bought this also bought this”. Recommendations based on content metadata, user profiles and user interactions.

Integration

Allow to integrate and reuse content metadata indexed on Omnitive Search (based on elastic search index) to train recommendations model.
Allow to input data as CSV file on filesystem.

Configuration

Threshold of prediction. E.g. Threshold = 60% means that Recommender will return only predictions above 60% score.
Number of recommendations returned by Recommender.

Business Rules

Allow administrators to set business rules that will apply to recommendation models.

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