Abstract
Given the important role of search engines in our everyday lives, a better understanding of the information needs that guide our information seeking behavior is essential. Known-item needs form a particular type of information need and occur when a user has a limited but concrete description of an existing object and would like to (re-)find it. Most studies of know-item needs have focused on the short query representations of these needs as they occur in search engine logs. In this article, we focus on richer, more complex known-item need representations posted to six dedicated Reddit discussion forums in the casual leisure domain. An analysis of 462 known-item requests from these subreddits revealed 33 different relevance aspects of items in a variety of different domains. Some of these aspects are highly domain-specific, while others are broadly applicable across domains. The domain %of the item sought also has a strong influence on the length of the known-item requests. Our findings can be used to prioritize efforts to help existing search engines better support known-item needs, both by highlighting which aspects are easier to classify automatically and by determining which information sources should be added to a search engine's index.
Originalsprog | Engelsk |
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Titel | Proceedings of the 32nd ACM Conference on Hypertext and Social Media (HT '21) |
Redaktører | Owen Conlan |
Forlag | Association for Computing Machinery (ACM) |
Publikationsdato | 2021 |
Sider | 143-154 |
ISBN (Elektronisk) | 978-1-4503-8551-0 |
DOI | |
Status | Udgivet - 2021 |
Begivenhed | 32nd ACM Conference on Hypertext and Social Media - Virtual, USA Varighed: 30 aug. 2021 → 2 sep. 2021 https://dl.acm.org/doi/proceedings/10.1145/3465336 |
Konference
Konference | 32nd ACM Conference on Hypertext and Social Media |
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Lokation | Virtual |
Land/Område | USA |
Periode | 30/08/2021 → 02/09/2021 |
Internetadresse |