ENHANCED CONTENT QUALITY USING CONTENT FEATURES

摘要

Architecture that includes an automated content recommendation engine to enhance the quality of content being delivered, and machine learning for the content recommendation. Content recommendation is improved for users and the dissatisfaction rate of displayed content lowered, thereby improving the overall user experience. More specifically, the architecture enables and obtains direct user feedback (e.g., like/dislike) and crowdsourced user feedback of the content, merges content features with the user feedback to build the content recommendation engine, uses the content recommendation engine to detect other content that the user may like or dislike, and, thereby reduces the DSAT rate of display content using the content recommendation engine.

主权项

1. A content recommendation system, comprising:
a content features component configured to enable assignment of features to a piece of content; a feedback component configured to automatically submit the piece of content and the features to a user feedback system and receive user feedback about the piece of content; a scoring component configured to generate a score for the piece of content based on the user feedback; a quality component configured to compute content quality of the piece of content based on the score; and at least one hardware processor configured to execute computer-executable instructions in a memory, the instructions executed to enable the content features component, the feedback component, the scoring component, and the quality component.