Context‐centric proactive information delivery for Knowledge Work support: Opportunities, challenges, and directions. An Annual Review of Information Science and Technology (ARIST)
综述了以情境为中心的主动信息投递在知识工作支持中的机遇、挑战与未来方向，适合对推荐系统或知识管理感兴趣的研究者快速了解该领域现状。
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks. These RS anticipate user needs by leveraging personal knowledge modeling, context recognition, and recommendation techniques to deliver timely and relevant resources without requiring explicit searches. Developing such RS faces various challenges in addition to common challenges within the broader RS landscape. These challenges range from data‐related issues, such as handling heterogeneous and noisy data, to user‐centric concerns, including privacy, explainability, and the lack of explicit feedback, as well as system and algorithmic challenges like cross‐application context modeling and scalability. This paper explores the opportunities, challenges, and future directions for PID, outlining key advancements and enabling technologies that support its development.