Work

Predicting User Experiences through Cross-Context Reasoning

Year: 2006

Type: article

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.

Source: HilDok – Institutional Repository (Universität Hildesheim)

Authors: Shlomo Berkovsky, Lora Aroyo, Dominik Heckmann, Geert-jan Houben, Er Kröner, Tsvi Kuflik, Francesco Ricci

Institutions: University of Haifa, German Research Centre for Artificial Intelligence, Free University of Bozen-Bolzano, Vrije Universiteit Brussel

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W178247744

FWCI: 0.621

Cites: 13

Cited by: 8

Related to: 10