Building a content recommendation system like the one inside a digital education platform or an electronic library. It is designed to find the content (tasks, books) that's suitable for different user categories in terms of interests and reading levels. It is also capable of categorizing content by age restrictions. We’ve made several prediction units that infer relative complexity (based on the number of words, vocabulary, etc.) and age restrictions (based on the text language and expressions used).
Checks content subject and vocabulary for age
Trained on 10,000,000+ dialogues from nearly 200,000 movies and shows
The coefficients of the general word usage are calculated on the basis of 57,000 books
Alternative to proprietary Amazon Lexile Measure
Smart filtering of the inappropriate or adult content
Recommend books or education tasks based on user age and reading skill
