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Development of a prototype for user-driven email classification
Enormous volumes of email are proliferated around the world every day, and a significant number of users believe that a large proportion of their time is being wasted dealing with the resultant inbox 'flooding'. This research studies existing email classification techniques which aim to reduce the...
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| Format: | Thesis |
| Language: | English |
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Department of Computer Science
2024
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| _version_ | 1867614224207839232 |
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| access_status_str | Open Access |
| author | Wessels, David Johann |
| author2 | Marsden, Gary |
| author_browse | Marsden, Gary Wessels, David Johann |
| author_facet | Marsden, Gary Wessels, David Johann |
| author_sort | Wessels, David Johann |
| collection | Thesis |
| description | Enormous volumes of email are proliferated around the world every day, and a significant number of users believe that a large proportion of their time is being wasted dealing with the resultant inbox 'flooding'. This research studies existing email classification techniques which aim to reduce the burden of the burgeoning inbox. It then develops the first iteration of a prototype which makes use of sender-assisted classification techniques, having used HCI investigative techniques to develop a set of improvements to existing email clients. This prototype is then evaluated. The suggested improvements are incorporated into a second prototype based on the recommendations from the first prototype. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/39387 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:48:38.582Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Department of Computer Science |
| publisherStr | Department of Computer Science |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/39387 Development of a prototype for user-driven email classification Wessels, David Johann Marsden, Gary Computer Science Enormous volumes of email are proliferated around the world every day, and a significant number of users believe that a large proportion of their time is being wasted dealing with the resultant inbox 'flooding'. This research studies existing email classification techniques which aim to reduce the burden of the burgeoning inbox. It then develops the first iteration of a prototype which makes use of sender-assisted classification techniques, having used HCI investigative techniques to develop a set of improvements to existing email clients. This prototype is then evaluated. The suggested improvements are incorporated into a second prototype based on the recommendations from the first prototype. 2024-04-12T07:06:32Z 2024-04-12T07:06:32Z 2008 2024-04-12T07:03:16Z Thesis / Dissertation Masters MSc http://hdl.handle.net/11427/39387 eng application/pdf Department of Computer Science Faculty of Science |
| spellingShingle | Computer Science Wessels, David Johann Development of a prototype for user-driven email classification |
| thesis_degree_str | Master's |
| title | Development of a prototype for user-driven email classification |
| title_full | Development of a prototype for user-driven email classification |
| title_fullStr | Development of a prototype for user-driven email classification |
| title_full_unstemmed | Development of a prototype for user-driven email classification |
| title_short | Development of a prototype for user-driven email classification |
| title_sort | development of a prototype for user driven email classification |
| topic | Computer Science |
| url | http://hdl.handle.net/11427/39387 |
| work_keys_str_mv | AT wesselsdavidjohann developmentofaprototypeforuserdrivenemailclassification |