让人工智能为您带来娱乐:利用生成式人工智能和拒绝采样提高用户参与度
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.
生成式人工智能(Gen AI)在内容生成方面表现出了一定的能力,但并不能始终保证用户的参与度,这主要有两个原因。首先,Gen AI 在生成内容时没有考虑用户参与度反馈。虽然内容可能信息丰富、文笔优美,但并不总能转化为点击量等用户参与度的提高。其次,Gen AI 生成的内容往往是通用的,不一定能提供用户所寻求的特定信息。
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.
Nextdoor 是邻里、企业和公共机构相互联系的社区网络。Nextdoor 正在通过人工智能生成内容 (AIGC) 构建创新解决方案,以提高用户参与度。这篇文章概述了我们通过用户反馈提高用户参与度的方法,尤其侧重于通知电子邮件主题行。我们的解决方案采用了 Rejection sampling [1](一种用于强化学习的技术)来提高参与度指标。我们相信,我们的工作提供了一个通用框架,可推动用户参与 AIGC,尤其是当现成的生成式人工智能无法生成吸引人的内容时。据我们所知,这是业界成功利用 AIGC 提高用户参与度的早期里程碑。
Introduction
导言
At Nextdoor, one of the ways to drive user growth and engagement on platform is through emails. One of the emails we have is called New and Trending notifications, where we send a single post that we think the user might be interested in and want to engage with. As part of sending an email, we need to determine a subject line of the em...