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Web Survey Bibliography

Title An Acceptance Model of Recommender Systems Based on a Large-Scale Internet Survey
Year 2012
Database SpringerLink
Access date 24.04.2014

Recommendation services capture and exploit personal information such as demographic attributes, preferences, and user behaviors on the internet. It is known that some users feel uneasiness regarding such information acquisition by systems and have concern over their online privacy. Investigating the structure of the uneasiness and evaluating the effect to user acceptance of the recommender systems is an important issue to develop user-accepting services. In this study, we developed an acceptance model of recommender systems based on a large-scale internet survey using 60 kinds of pseudo-services.

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Year of publication2012
Bibliographic typeJournal article
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