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Information Systems Frontiers
Erschienen in: Information Systems Frontiers 5/2010

01.11.2010

Personalisation in web computing and informatics: Theories, techniques, applications, and future research

verfasst von: Min Gao, Kecheng Liu, Zhongfu Wu

Erschienen in: Information Systems Frontiers | Ausgabe 5/2010

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Abstract

Recently, personalised search engines and recommendation systems have been widely adopted by users who require assistance in searching, classifying, and filtering information. This paper presents an overview of the field of personalisation systems and describes current state-of-the-art methods and techniques. It reviews approaches for (1) user profiling, including behaviour, preference, and intention modelling; (2) content modelling, comprising content representation, analysis, and classification; and (3) filtering methods for recommendation, classified into four main categories: rule-based, content-based, collaborative, and hybrid filtering. The paper also discusses personalisation systems in different domains, and various techniques and their limitations. Finally, it identifies several issues and possible directions for further research that can improve recommendation capabilities and enhance personalised systems.
Vorheriger Artikel Examining influencing factors of post-adoption usage of mobile internet: Focus on the user perception of supplier-side attributes
Nächster Artikel Combining transaction cost and resource-based insights to explain IT implementation outsourcing

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Metadaten
Titel
Personalisation in web computing and informatics: Theories, techniques, applications, and future research
verfasst von
Min Gao
Kecheng Liu
Zhongfu Wu
Publikationsdatum
01.11.2010
Verlag
Springer US
Erschienen in
Information Systems Frontiers / Ausgabe 5/2010
Print ISSN: 1387-3326
Elektronische ISSN: 1572-9419
DOI
https://doi.org/10.1007/s10796-009-9199-3

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