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Evaluating collaborative filtering content recommenders for mobile phones
Includes bibliographical references (leaves 64-67).
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| Main Author: | |
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Department of Electrical Engineering
2014
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| _version_ | 1867611357396860928 |
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| access_status_str | Open Access |
| author | Piyasena, Indika Weliwe Gamage |
| author2 | Chan, H Anthony |
| author_browse | Chan, H Anthony Piyasena, Indika Weliwe Gamage |
| author_facet | Chan, H Anthony Piyasena, Indika Weliwe Gamage |
| author_sort | Piyasena, Indika Weliwe Gamage |
| collection | Thesis |
| description | Includes bibliographical references (leaves 64-67). |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/5124 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| publisher | Department of Electrical Engineering |
| publisherStr | Department of Electrical Engineering |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/5124 Evaluating collaborative filtering content recommenders for mobile phones Piyasena, Indika Weliwe Gamage Chan, H Anthony Electrical Engineering Includes bibliographical references (leaves 64-67). The high adoption of mobile phones coupled with 3G technology can extend Internet access to new communities. Yet such access is currently impractical because mobile phone interfaces are cumbersome to use. In addition, hierarchical menus and search engines pose an interaction barrier to the unfamiliar. A content recommender is proposed to address these issues. Collaborative filtering is a technique developed to make predictions on unobserved items based on the preferences of similar users. User-based collaborative filtering has been identified as a simple, yet reasonably accurate scheme. An evaluation is conducted into how quickly this algorithm can identify preferred content based on user-content interactions. 2014-07-31T10:54:04Z 2014-07-31T10:54:04Z 2007 Master Thesis Masters MSc http://hdl.handle.net/11427/5124 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town |
| spellingShingle | Electrical Engineering Piyasena, Indika Weliwe Gamage Evaluating collaborative filtering content recommenders for mobile phones |
| thesis_degree_str | Master's |
| title | Evaluating collaborative filtering content recommenders for mobile phones |
| title_full | Evaluating collaborative filtering content recommenders for mobile phones |
| title_fullStr | Evaluating collaborative filtering content recommenders for mobile phones |
| title_full_unstemmed | Evaluating collaborative filtering content recommenders for mobile phones |
| title_short | Evaluating collaborative filtering content recommenders for mobile phones |
| title_sort | evaluating collaborative filtering content recommenders for mobile phones |
| topic | Electrical Engineering |
| url | http://hdl.handle.net/11427/5124 |
| work_keys_str_mv | AT piyasenaindikaweliwegamage evaluatingcollaborativefilteringcontentrecommendersformobilephones |