Balancing the management of technical debt within recommender systems requires effectively juggling the introduction of new features with the ongoing maintenance and enhancement of the current system. Within the realm of recommender systems, technical debt encompasses the trade-offs and expedient choices made during the development and upkeep of the recommendation system, which could potentially have adverse effects on its long-term performance, scalability, and maintainability. In this vision paper, our objective is to kickstart a research direction regarding Technical Debt in Recommender Systems. We identified 15 potential factors, along with detailed explanations outlining why it is advisable to consider them.

翻译：在推荐系统中平衡技术债务的管理需要有效协调引入新功能与持续维护、增强现有系统之间的关系。在推荐系统领域，技术债务涵盖系统开发与维护过程中所做出的权衡与权宜性选择，这些选择可能对系统的长期性能、可扩展性和可维护性产生不利影响。作为一篇观点性论文，本文旨在开创推荐系统中技术债务这一研究方向。我们识别出15个潜在因素，并详细阐述了建议将其纳入考量的理由。