Let AI Entertain You: Increasing User Engagement with Generative AI and Rejection Sampling

Let AI Entertain You: Increasing User Engagement with Generative AI and Rejection Sampling

摘要

Generative AI (Gen AI) has demonstrated proficiency in content generation but does not consistently guarantee user engagement, mainly for two reasons. First, Gen AI generates content without considering user engagement feedback. While the content may be informative and well-written, it does not always translate to increased user engagement such as clicks. Second, Gen AI-produced content often remains generic and may not always provide the specific information that users seek.

Nextdoor is the neighborhood network where neighbors, businesses, and public agencies connect with each other. Nextdoor is building innovative solutions to enhance the user engagement with AI-Generated Content (AIGC). This post outlines our approach to improving user engagement through user feedback, specifically focusing on Notification email subject lines. Our solutions employ Rejection sampling [1], a technique used in reinforcement learning, to boost the engagement metrics. We believe our work presents a general framework to drive user engagement with AIGC, particularly when off-the-shelf Generative AI falls short in producing engaging content. To the best of our knowledge, this marks an early milestone in the industry’s successful use of AIGC to enhance user engagement.