Towards Understanding Complex Known-Item Requests on Reddit
- Florian Maximilian Meier,
- ,
- Maria Gäde,
- Line Ebdrup Thomsen
- Aalborg University,
- Humboldt University of Berlin
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOpen access
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOriginal language
EnglishPages from-to (Number of pages)
Pages 143-154Publication milestones
- Published - 2021
Publication status
Published - 2021
Publisher
Association for Computing Machinery, United StatesISBN (Electronic)
978-1-4503-8551-0Publication IDs
- ORCID: /0000-0001-9408-0686/work/105745266
- Scopus: 85114843720
Host publication title
Proceedings of the 32nd ACM Conference on Hypertext and Social Media (HT '21)Host publication editors
- Owen Conlan
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.
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Citations
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Access to documents
Accepted author manuscript, 723.55 KB
Related Event
Title
32nd ACM Conference on Hypertext and Social Media
Event type
ConferenceDate
30/08/2021 - 02/09/2021Location
VirtualUnited States
