Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/41737
Title: Learning and exploiting context dependencies for robust recommendations
Authors: Yap, Ghim Eng
Keywords: DRNTU::Engineering::Computer science and engineering::Information systems::Information systems applications
Issue Date: 2008
Source: Yap, G. E. (2008). Learning and exploiting context dependencies for robust recommendations. Doctoral thesis, Nanyang Technological University, Singapore.
Abstract: 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.
URI: https://hdl.handle.net/10356/41737
DOI: 10.32657/10356/41737
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Theses

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