Tip-of-the-tongue (ToT) known-item retrieval involves re-finding an item for which the searcher does not reliably recall an identifier. ToT information requests (or queries) are verbose and tend to include several complex phenomena, making them especially difficult for existing information retrieval systems. The TREC 2024 ToT track focused on a single ad-hoc retrieval task. Participants were provided with training and development data in the movie domain. Conversely, systems were tested on data that combined three domains: movies, celebrities, and landmarks. This year, 6 groups (including the track coordinators) submitted 18 runs.
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@inproceedings{arguello:trec-tot-2024,
year = {2025},
title = {Overview of the TREC 2024 Tip-of-the-Tongue Track},
booktitle = {Proceedings of the Thirty-Third Text REtrieval Conference},
author = {Jaime Arguello and Samarth Bhargav and Fernando Diaz and Evangelos Kanoulas and To Eun Kim and Yifan He and Bhaskar Mitra}
}