Content recommendation system using a neural network language model

摘要

The present disclosure relates to applying techniques similar to those used in neural network language modeling systems to a content recommendation system. For example, by associating consumed media content to words of a language model, the system may provide content predictions based on an ordering. Thus, the systems and techniques described herein may produce enhanced prediction results for recommending content (e.g. word) in a given sequence of consumed content. In addition, the system may account for additional user actions by representing particular actions as punctuation in the language model.

主权项

1. A computer-implemented method of providing recommendations, comprising:
obtaining a user history for a user, the user history identifying a plurality of items, the plurality of items comprising items representing one or more media items presented to the user and items representing one or more actions performed by the user; generating a sequence of tokens that includes a respective token associated with each of the one or more media items presented to the user and a respective token associated with each of the one or more actions performed by the user; providing each token in the sequence of tokens as an input to a recurrent neural network that is configured to process each of the tokens and, after processing a last token in the sequence of tokens, predict a next token subsequent to the last token in the sequence of tokens; and providing a recommendation to the user based on an item associated with the predicted next token.