舌尖上的已知项检索--以电影识别为例
Tip of the Tongue Known-Item Retrieval: A Case Study in Movie Identification
摘要：
虽然当前的信息检索系统对于已知项目的检索是有效的，其中检索器提供了被查找项目的精确名称或标识符，但是对于检索器不能表达精确名称或标识符的情况，系统往往不太有效。我们称之为舌尖（TOT）已知项目检索，以无法从记忆中检索项目的认知状态命名。以电影搜索为例，探讨了社区问答网站中TOT状态下搜索者提问的特征。我们分析了搜索如何表达他们的信息需求在TOT状态在电影领域。具体来说，搜索者记住了关于所搜索的项目的哪些信息，以及他们如何传达这些信息？我们的研究结果表明，搜索者使用以下信息的组合：（1）所搜索项目的内容，（2）他们以前与该项目接触的上下文，以及（3）以前使用其他资源（例如，搜索引擎）。此外，搜索者有时通过表达不确定性来传达信息（即，对冲），意见，情绪，并通过执行相对（相对于绝对）的比较项目的属性。作为我们的分析结果，我们认为，搜索TOT状态可能需要专门的查询理解方法或文档表示。最后，我们初步的检索实验显示的信息请求中的每种信息类型对检索性能的影响。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
