Learning and exploiting context dependencies for robust recommendations
We consider the recommendation problem, where a set of available items or choices are rated and recommended to users accordingly. Over and above the ratings information used in traditional filtering algorithms, the context of the user-recommender interaction is used to improve the recommendation...
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
2010
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| Online Access: | https://hdl.handle.net/10356/41737 |
| _version_ | 1824455762493046784 |
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| author | Yap, Ghim Eng |
| author2 | Pang Hwee Hwa |
| author_facet | Pang Hwee Hwa Yap, Ghim Eng |
| author_sort | Yap, Ghim Eng |
| collection | NTU |
| description | We consider the recommendation problem, where a set of available items or choices are rated
and recommended to users accordingly. Over and above the ratings information used in traditional
filtering algorithms, the context of the user-recommender interaction is used to improve
the recommendation quality. Specifically, we study how the effective learning and exploitation
of context dependencies can help to generate more personal and relevant recommendations. |
| first_indexed | 2025-02-19T03:43:22Z |
| format | Thesis |
| id | ntu-10356/41737 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:43:22Z |
| publishDate | 2010 |
| record_format | dspace |
| spelling | ntu-10356/417372023-03-04T00:42:50Z Learning and exploiting context dependencies for robust recommendations Yap, Ghim Eng Pang Hwee Hwa Tan Ah Hwee School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Information systems::Information systems applications We consider the recommendation problem, where a set of available items or choices are rated and recommended to users accordingly. Over and above the ratings information used in traditional filtering algorithms, the context of the user-recommender interaction is used to improve the recommendation quality. Specifically, we study how the effective learning and exploitation of context dependencies can help to generate more personal and relevant recommendations. DOCTOR OF PHILOSOPHY (SCE) 2010-08-06T03:50:10Z 2010-08-06T03:50:10Z 2008 2008 Thesis Yap, G. E. (2008). Learning and exploiting context dependencies for robust recommendations. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/41737 10.32657/10356/41737 en 174 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Information systems::Information systems applications Yap, Ghim Eng Learning and exploiting context dependencies for robust recommendations |
| title | Learning and exploiting context dependencies for robust recommendations |
| title_full | Learning and exploiting context dependencies for robust recommendations |
| title_fullStr | Learning and exploiting context dependencies for robust recommendations |
| title_full_unstemmed | Learning and exploiting context dependencies for robust recommendations |
| title_short | Learning and exploiting context dependencies for robust recommendations |
| title_sort | learning and exploiting context dependencies for robust recommendations |
| topic | DRNTU::Engineering::Computer science and engineering::Information systems::Information systems applications |
| url | https://hdl.handle.net/10356/41737 |
| work_keys_str_mv | AT yapghimeng learningandexploitingcontextdependenciesforrobustrecommendations |