Enhancing Information Scent: Identifying and Recommending Quality Tags
| dc.contributor.author | Zhang, Shaoke | |
| dc.contributor.author | Farooq, Umer | |
| dc.contributor.author | Carroll, John M. | |
| dc.date.accessioned | 2023-06-08T11:44:30Z | |
| dc.date.available | 2023-06-08T11:44:30Z | |
| dc.date.issued | 2009 | |
| dc.description.abstract | We describe a scenario of tag use and an empirical study of tags as socio-cognitive artifacts providing information scent. We articulated a three-step use scenario of tags, and used it to conceptualize tag quality" as determined by use. We designed and conducted a user study to explore what attributes of tags and taggers predict the user-rated "quality" of tags. We found that frequency best predicted tag quality, while information entropy provided further refinement. We found that people rated our identified quality tags as higher in quality than general tags. But these identified quality tags were not perceived as better than self-generated tags. We derived a regression model for tag quality and discussed implications for social computing." | en |
| dc.identifier.doi | 10.1145/1531674.1531676 | |
| dc.identifier.uri | https://dl.eusset.eu/handle/20.500.12015/4858 | |
| dc.language.iso | en | |
| dc.publisher | Association for Computing Machinery | |
| dc.relation.ispartof | Proceedings of the 2009 ACM International Conference on Supporting Group Work | |
| dc.subject | social bookmarking | |
| dc.subject | sense-making | |
| dc.subject | quality tags | |
| dc.title | Enhancing Information Scent: Identifying and Recommending Quality Tags | en |
| gi.citation.publisherPlace | New York, NY, USA | |
| gi.citation.startPage | 1–10 | |
| gi.citations.count | 7 | |
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| gi.citations.element | Lei Li, Chengzhi Zhang (2014): Quality evaluation of social tags according to web resource types, In: Proceedings of the 23rd International Conference on World Wide Web, doi:10.1145/2567948.2578998 | |
| gi.citations.element | Hyungil Suh, Jeungmin Oh, Wan Chul Yoon (2016): Which Tags Do We Remember in Personal Information Management?, In: International Journal of Human-Computer Interaction 7(32), doi:10.1080/10447318.2016.1181291 | |
| gi.citations.element | Hesham Allam, James Blustein, Michael Bliemel, Louise Spiteri (2012): Exploring Factors Impacting Users' Attitude and Intention towards Social Tagging Systems, In: 2012 45th Hawaii International Conference on System Sciences, doi:10.1109/hicss.2012.267 | |
| gi.conference.location | Sanibel Island, Florida, USA |