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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Bibliographic Details
Main Author:	Yap, Ghim Eng
Other Authors:	Pang Hwee Hwa
Format:	Theses and Dissertations
Language:	English
Published:	2010
Subjects:	DRNTU::Engineering::Computer science and engineering::Information systems::Information systems applications
Online Access:	https://hdl.handle.net/10356/41737
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Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-41737
record_format	dspace
spelling	sg-ntu-dr.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
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	DRNTU::Engineering::Computer science and engineering::Information systems::Information systems applications
spellingShingle	DRNTU::Engineering::Computer science and engineering::Information systems::Information systems applications Yap, Ghim Eng Learning and exploiting context dependencies for robust recommendations
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.
author2	Pang Hwee Hwa
author_facet	Pang Hwee Hwa Yap, Ghim Eng
format	Theses and Dissertations
author	Yap, Ghim Eng
author_sort	Yap, Ghim Eng
title	Learning and exploiting context dependencies for robust recommendations
title_short	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_sort	learning and exploiting context dependencies for robust recommendations
publishDate	2010
url	https://hdl.handle.net/10356/41737
_version_	1759858124763693056

Learning and exploiting context dependencies for robust recommendations

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