Predicting user experiences through cross-context reasoning

Shlomo Berkovsky; Lora Aroyo; Dominik Heckmann; Geert-Jan Houben; Alexander Kröner; Tsvi Kuflik; Francesco Ricci

Predicting user experiences through cross-context reasoning

Shlomo Berkovsky^*, Lora Aroyo, Dominik Heckmann, Geert-Jan Houben, Alexander Kröner, Tsvi Kuflik, Francesco Ricci

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

10 Citations (Scopus)

Abstract

The existing personalization systems typically base their services on general user models that ignore the issue of context-awareness. This position paper focuses on developing mechanisms for cross-context reasoning of the user models, which can be applied for the context-aware personalization. The reasoning augments the sparse user models by inferring the missing information from other contextual conditions. Thus, it upgrades the existing personalization systems and facilitates provision of accurate context-aware services.

Original language	English
Title of host publication	Lernen, Wissensentdeckung und Adaptivitat
Subtitle of host publication	LWA 2006 proceedings
Pages	27-31
Number of pages	5
Publication status	Published - 1 Dec 2006
Externally published	Yes
Event	Workshop-Woche on Lernen, Wissen und Adaptivitat, LWA 2006 - Hildesheim, Germany Duration: 9 Oct 2006 → 11 Oct 2006

Conference

Conference	Workshop-Woche on Lernen, Wissen und Adaptivitat, LWA 2006
Country/Territory	Germany
City	Hildesheim
Period	9/10/06 → 11/10/06

Cite this

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title = "Predicting user experiences through cross-context reasoning",

abstract = "The existing personalization systems typically base their services on general user models that ignore the issue of context-awareness. This position paper focuses on developing mechanisms for cross-context reasoning of the user models, which can be applied for the context-aware personalization. The reasoning augments the sparse user models by inferring the missing information from other contextual conditions. Thus, it upgrades the existing personalization systems and facilitates provision of accurate context-aware services.",

author = "Shlomo Berkovsky and Lora Aroyo and Dominik Heckmann and Geert-Jan Houben and Alexander Kr{\"o}ner and Tsvi Kuflik and Francesco Ricci",

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T1 - Predicting user experiences through cross-context reasoning

AU - Berkovsky, Shlomo

AU - Aroyo, Lora

AU - Heckmann, Dominik

AU - Houben, Geert-Jan

AU - Kröner, Alexander

AU - Kuflik, Tsvi

AU - Ricci, Francesco

PY - 2006/12/1

Y1 - 2006/12/1

N2 - The existing personalization systems typically base their services on general user models that ignore the issue of context-awareness. This position paper focuses on developing mechanisms for cross-context reasoning of the user models, which can be applied for the context-aware personalization. The reasoning augments the sparse user models by inferring the missing information from other contextual conditions. Thus, it upgrades the existing personalization systems and facilitates provision of accurate context-aware services.

AB - The existing personalization systems typically base their services on general user models that ignore the issue of context-awareness. This position paper focuses on developing mechanisms for cross-context reasoning of the user models, which can be applied for the context-aware personalization. The reasoning augments the sparse user models by inferring the missing information from other contextual conditions. Thus, it upgrades the existing personalization systems and facilitates provision of accurate context-aware services.

UR - http://www.scopus.com/inward/record.url?scp=58449100120&partnerID=8YFLogxK

M3 - Conference proceeding contribution

AN - SCOPUS:58449100120

SP - 27

EP - 31

BT - Lernen, Wissensentdeckung und Adaptivitat

T2 - Workshop-Woche on Lernen, Wissen und Adaptivitat, LWA 2006

Y2 - 9 October 2006 through 11 October 2006

ER -

Predicting user experiences through cross-context reasoning

Abstract

Conference

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