The client is a large and innovative big data management agency from USA that collects valuable first-party data on different websites and offers ads to visitors based on their tastes. The company works mostly with musicians selling its bid data services.
The client already collected data from simple websites with one niche – music. However, there was a need to expand the focus and analyze complex websites, where one can find lots of different informational categories and target audiences of various ages. The categories are eligible to extract valuable textual data about website visitors and allow to serve advertising in a more accurate way. Thus, the client needed to have a model, which could analyze millions of these web pages per day and categorize the content precisely following the valuable context results.
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Technologies 
Data collection and labeling of data was initially a blocker, but with some creative thinking we were able to collect a robust dataset that was suitable for training a powerful categorization model.
Inoxoft’s team has produced the first-class machine learning model for the client allowing him to:
