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：在推荐系统内部管理技术债需要有效平衡新功能引入与当前系统持续维护及改进之间的矛盾。推荐系统领域的技术债涉及开发与维护推荐系统过程中所做的权衡和权宜选择，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。本愿景论文旨在开创推荐系统技术债这一研究方向。我们识别出15个潜在因素，并详细阐释了为何建议对其加以考量。