Recommended Reading
The following publications provide valuable background information and context for the NTCIR19-Lifelog task:
- Gurrin, C. et al. Experiments in Lifelog Organisation and Retrieval at NTCIR. Evaluating Information Retrieval and Access Tasks. Springer, 2020.
- Tran, L.-D. et al. Comparing Interactive Retrieval Approaches at the Lifelog Search Challenge 2021, IEEE Access, 2023.
These papers discuss previous work in lifelog retrieval and provide insights into evaluation methodologies and system approaches used in earlier NTCIR Lifelog tasks.
Citation
When referring to the NTCIR-19 Lifelog-7 task, please cite the overview paper. Participant papers must include this citation:
@inproceedings{lifelog7overview,
author = "Liting Zhou and Ly-Duyen Tran and Alice Dajung Jung and Graham Healy and Cathal Gurrin and Luca Rossetto and Klaus Schoeffmann and Duc-Tien Dang-Nguyen and Fangli Ying",
title = "Overview of the {NTCIR}-19 Lifelog-7 Task",
booktitle = "Proceedings of the NTCIR-19 Conference",
YEAR = {2026},
}Page numbers and a DOI will be added for the camera-ready proceedings version. Until then, please use the entry above.
Example Submissions
Sample submission files for validating your pipeline. Times and sources are illustrative only and are not ground truth.
- DCU-DCUCSAT01-Automatic.minimal.txt: CSAT minimal example (4 topics, 11 instances)
- DCU-DCUCSAT01-Automatic.txt: CSAT sample automatic run (25 topics, 70 instances)
Past Editions
The NTCIR Lifelog task has a rich history of advancing research in lifelog analytics and retrieval. Previous editions have contributed significantly to the field:
- NTCIR-12 Lifelogging (2016): View
- NTCIR-13 Lifelogging (2017): View
- NTCIR-14 Lifelogging (2019): View
- NTCIR-16 Lifelogging (2021): View
- NTCIR-17 Lifelogging (2023): View
- NTCIR-18 Lifelogging (2025): View
These past editions have established benchmarks, evaluation methodologies, and best practices that continue to inform the current task. Participants are encouraged to review previous work to understand the evolution of the task and learn from successful approaches.