Tip of the Tongue Known-Item Retrieval: A Case Study in Movie Identification
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Abstract (arXiv)
While current information retrieval systems are effective for known-item retrieval where the searcher provides a precise name or identifier for the item being sought, systems tend to be much less effective for cases where the searcher is unable to express a precise name or identifier. We refer to this as tip of the tongue (TOT) known-item retrieval, named after the cognitive state of not being able to retrieve an item from memory. Using movie search as a case study, we explore the characteristics of questions posed by searchers in TOT states in a community question answering website. We analyze how searchers express their information needs during TOT states in the movie domain. Specifically, what information do searchers remember about the item being sought and how do they convey this information? Our results suggest that searchers use a combination of information about: (1) the content of the item sought, (2) the context in which they previously engaged with the item, and (3) previous attempts to find the item using other resources (e.g., search engines). Additionally, searchers convey information by sometimes expressing uncertainty (i.e., hedging), opinions, emotions, and by performing relative (vs. absolute) comparisons with attributes of the item. As a result of our analysis, we believe that searchers in TOT states may require specialized query understanding methods or document representations. Finally, our preliminary retrieval experiments show the impact of each information type presented in information requests on retrieval performance.
Key facts. Cited by 14 papers in the map (data through 14 Oct 2026). First posted on arXiv 18 Jan 2021.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 2; 2024: 0; 2025: 6; 2026: 3.
14 papers.
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- 2022Retrieval-Enhanced Machine Learningcited by 47
- 2023Large Language Model Augmented Narrative Driven Recommendationscited by 31
- 2023Decomposing Complex Queries for Tip-of-the-tongue Retrievalcited by 24
- 2021CSFCube -- A Test Collection of Computer Science Research Articles for Faceted Query by Examplecited by 20
- 2025Taxonomy of User Needs and Actionscited by 15
- 2025InteractComp: Evaluating Search Agents With Ambiguous Queriescited by 12
- 2026OBLIQ-Bench: Exposing Overlooked Bottlenecks in Modern Retrievers with Latent and Implicit Queriescited by 8
- 2025Browsing Lost Unformed Recollections: A Benchmark for Tip-of-the-Tongue Search and Reasoningcited by 7
- 2025Benchmarking Information Retrieval Models on Complex Retrieval Taskscited by 6
- 2025Tip of the Tongue Query Elicitation for Simulated Evaluationcited by 4
- 2022Would You Ask it that Way? Measuring and Improving Question Naturalness for Knowledge Graph Question Answeringcited by 1
- 2025Unsupervised Memorability Modeling from Tip-of-the-Tongue Retrieval Queriescited by 0
- 2026OBLIQ-Bench: Exposing Overlooked Bottlenecks in Modern Retrievers with Latent and Implicit Queries7 May 2026
- 2026Multilingual and Domain-Agnostic Tip-of-the-Tongue Query Generation for Simulated Evaluation22 Apr 2026
- 2026DETOUR: An Interactive Benchmark for Dual-Agent Search and Reasoning30 Jan 2026
- 2025Unsupervised Memorability Modeling from Tip-of-the-Tongue Retrieval Queries25 Nov 2025
- 2025InteractComp: Evaluating Search Agents With Ambiguous Queries28 Oct 2025
- 2025Taxonomy of User Needs and Actions7 Oct 2025
- 2025Benchmarking Information Retrieval Models on Complex Retrieval Tasks8 Sep 2025
- 2025Browsing Lost Unformed Recollections: A Benchmark for Tip-of-the-Tongue Search and Reasoning24 Mar 2025
- 2025Tip of the Tongue Query Elicitation for Simulated Evaluation25 Feb 2025
- 2023Large Language Model Augmented Narrative Driven Recommendations4 Jun 2023
- 2023Decomposing Complex Queries for Tip-of-the-tongue Retrieval24 May 2023
- 2022Would You Ask it that Way? Measuring and Improving Question Naturalness for Knowledge Graph Question Answering25 May 2022
2 more
- 2022Retrieval-Enhanced Machine Learningcited by 47
- 2023Large Language Model Augmented Narrative Driven Recommendationscited by 31
- 2023Decomposing Complex Queries for Tip-of-the-tongue Retrievalcited by 24
- 2021CSFCube -- A Test Collection of Computer Science Research Articles for Faceted Query by Examplecited by 20
- 2025Taxonomy of User Needs and Actionscited by 15
- 2025InteractComp: Evaluating Search Agents With Ambiguous Queriescited by 12
- 2026OBLIQ-Bench: Exposing Overlooked Bottlenecks in Modern Retrievers with Latent and Implicit Queriescited by 8
- 2025Browsing Lost Unformed Recollections: A Benchmark for Tip-of-the-Tongue Search and Reasoningcited by 7
- 2025Benchmarking Information Retrieval Models on Complex Retrieval Taskscited by 6
- 2025Tip of the Tongue Query Elicitation for Simulated Evaluationcited by 4
- 2022Would You Ask it that Way? Measuring and Improving Question Naturalness for Knowledge Graph Question Answeringcited by 1
- 2025Unsupervised Memorability Modeling from Tip-of-the-Tongue Retrieval Queriescited by 0
12 most cited of 14 All 14 (JSON)
- 2026OBLIQ-Bench: Exposing Overlooked Bottlenecks in Modern Retrievers with Latent and Implicit Queries7 May 2026
- 2026Multilingual and Domain-Agnostic Tip-of-the-Tongue Query Generation for Simulated Evaluation22 Apr 2026
- 2026DETOUR: An Interactive Benchmark for Dual-Agent Search and Reasoning30 Jan 2026
- 2025Unsupervised Memorability Modeling from Tip-of-the-Tongue Retrieval Queries25 Nov 2025
- 2025InteractComp: Evaluating Search Agents With Ambiguous Queries28 Oct 2025
- 2025Taxonomy of User Needs and Actions7 Oct 2025
- 2025Benchmarking Information Retrieval Models on Complex Retrieval Tasks8 Sep 2025
- 2025Browsing Lost Unformed Recollections: A Benchmark for Tip-of-the-Tongue Search and Reasoning24 Mar 2025
- 2025Tip of the Tongue Query Elicitation for Simulated Evaluation25 Feb 2025
- 2023Large Language Model Augmented Narrative Driven Recommendations4 Jun 2023
- 2023Decomposing Complex Queries for Tip-of-the-tongue Retrieval24 May 2023
- 2022Would You Ask it that Way? Measuring and Improving Question Naturalness for Knowledge Graph Question Answering25 May 2022
12 newest of 14 All 14 (JSON)