Pattern-based classification

A method performed by one or more data processing apparatus, the method comprising:

• receiving interaction data for a sequence of user interactions performed by entity;
• encoding the interaction data for the sequence of user interactions into encoded interaction data having a standardized format that is based on (i) an event type of each user interaction in the sequence of user interactions and (ii) a time of occurrence of each user interaction relative to one or more other user interactions in the sequence of user interactions;
• providing the encoded interaction data for the sequence of user interactions to a trained machine learning model that is trained to classify sequences of user interactions as valid or invalid;
• receiving, as an output of the trained machine learning model, a classification of the sequence of user interactions;
• and
• controlling distribution of content to the entity based on the classification of the sequence of user interactions.

A system comprising:

• one or more processors;
• and
• one or more memory elements including instructions that, when executed, cause the one or more processors to perform operations comprising:
• receiving interaction data for a sequence of user interactions performed by entity;
• encoding the interaction data for the sequence of user interactions into encoded interaction data having a standardized format that is based on (i) an event type of each user interaction in the sequence of user interactions and (ii) a time of occurrence of each user interaction relative to one or more other user interactions in the sequence of user interactions;
• providing the encoded interaction data for the sequence of user interactions to a trained machine learning model that is trained to classify sequences of user interactions as valid or invalid;
• receiving, as an output of the trained machine learning model, a classification of the sequence of user interactions;
• and
• controlling distribution of content to the entity based on the classification of the sequence of user interactions.

A non-transitory computer storage medium encoded with instructions that when executed by a computing system cause the computing system to perform operations comprising:

• receiving interaction data for a sequence of user interactions performed by entity;
• encoding the interaction data for the sequence of user interactions into encoded interaction data having a standardized format that is based on (i) an event type of each user interaction in the sequence of user interactions and (ii) a time of occurrence of each user interaction relative to one or more other user interactions in the sequence of user interactions;
• providing the encoded interaction data for the sequence of user interactions to a trained machine learning model that is trained to classify sequences of user interactions as valid or invalid;
• receiving, as an output of the trained machine learning model, a classification of the sequence of user interactions;
• and
• controlling distribution of content to the entity based on the classification of the sequence of user interactions.