Meta-Information in Conversational Search
| Autor: | Johannes Kiesel, Lars Meyer, Benno Stein, Martin Potthast |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Information retrieval
Conversational search Information seeking Computer science media_common.quotation_subject Information needs General Business Management and Accounting Computer Science Applications Information behavior Salient Quantitative research Quality (business) Conversation Information Systems media_common |
| Zdroj: | ACM Transactions on Information Systems. 39:1-44 |
| ISSN: | 1558-2868 1046-8188 |
| DOI: | 10.1145/3468868 |
| Popis: | The exchange of meta-information has always formed part of information behavior. In this article, we show that this rule also extends to conversational search. Information about the user’s information need, their preferences, and the quality of search results are only some of the most salient examples of meta-information that are exchanged as a matter of course in a search conversation. To understand the importance of meta-information for conversational search, we revisit its definition and survey how meta-information has been taken into account in the past in information retrieval. Meta-information has gone by many names, about which a concise overview is provided. An in-depth analysis of the role of meta-information in search and conversation theories reveals that they provide significant support for the importance of meta-information in conversational search. We further identify conversational search datasets are suitable for a deeper inspection with regard to meta-information, namely, Spoken Conversational Search and Microsoft Information-Seeking Conversations. A quantitative data analysis demonstrates the practical significance of meta-information in information-seeking conversations, whereas a qualitative analysis shows the effects of exchanging different types. Finally, we discuss practical applications and challenges of meta-information in conversational search, including a case study of VERSE, an existing search system for the visually impaired. |
| Databáze: | OpenAIRE |
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