Title: The State-of-the-Art in Lifelog Retrieval: A Review of Progress at the ACM Lifelog Search Challenge Workshop 2022-24 Show Chinese title

Title: 日志检索的最新进展：对2022-24年ACM日志检索挑战研讨会进展的回顾

Abstract: The ACM Lifelog Search Challenge (LSC) is a venue that welcomes and compares systems that support the exploration of lifelog data, and in particular the retrieval of specific information, through an interactive competition format. This paper reviews the recent advances in interactive lifelog retrieval as demonstrated at the ACM LSC from 2022 to 2024. Through a detailed comparative analysis, we highlight key improvements across three main retrieval tasks: known-item search, question answering, and ad-hoc search. Our analysis identifies trends such as the widespread adoption of embedding-based retrieval methods (e.g., CLIP, BLIP), increased integration of large language models (LLMs) for conversational retrieval, and continued innovation in multimodal and collaborative search interfaces. We further discuss how specific retrieval techniques and user interface (UI) designs have impacted system performance, emphasizing the importance of balancing retrieval complexity with usability. Our findings indicate that embedding-driven approaches combined with LLMs show promise for lifelog retrieval systems. Likewise, improving UI design can enhance usability and efficiency. Additionally, we recommend reconsidering multi-instance system evaluations within the expert track to better manage variability in user familiarity and configuration effectiveness. Show Chinese abstract

Abstract: ACM 生活日志搜索挑战赛（LSC）是一个欢迎并比较支持探索生活日志数据系统的平台，特别是通过交互式竞赛格式检索特定信息。 本文回顾了 2022 年至 2024 年在 ACM LSC 上展示的交互式生活日志检索的最新进展。 通过详细的对比分析，我们强调了三大检索任务中的关键改进：已知项目检索、问答和自由检索。 我们的分析识别出一些趋势，例如基于嵌入的检索方法（如 CLIP、BLIP）的广泛采用，大型语言模型（LLMs）在会话检索中的更多集成，以及多模态和协作检索界面的持续创新。 我们进一步讨论了具体的检索技术和用户界面（UI）设计如何影响系统性能，强调了平衡检索复杂性与可用性的重要性。 我们的研究结果显示，基于嵌入的方法结合 LLMs 对生活日志检索系统有前景。 同样，改善 UI 设计可以提高可用性和效率。 此外，我们建议在专家赛道重新考虑多实例系统评估，以更好地管理用户熟悉度和配置有效性方面的差异。