Work

Implications of Consumer Information Behaviour to Construct Utility-based Recommender Systems: A Prototypical Study

Year: 2010

Type: article

Abstract: Product recommender systems aim to support consumers in making buying decisions. However, such a support requires considering the consumer behaviour in making buying decisions. In this paper, we deduce design requirements for utility-based recommender systems from the theory of consumer information behaviour and present empirically findings from experiments conducted with a prototypical implementation of the proposed requirements. The empirical examination shows that our recommender system has a high predictive validity.

Source: Journal of the Association for Information Systems

Author: Michael Scholz

Institution: University of Passau

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W208625090

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Cites: 36

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Related to: 10