An acceptance model of recommender systems based on a large-scale internet survey
作者： Hideki Asoh , Chihiro Ono , Yukiko Habu , Haruo Takasaki , Takeshi Takenaka
DOI: 10.1007/978-3-642-28509-7_39
关键词: Structure (mathematical logic) 、 Information acquisition 、 The Internet 、 Scale (social sciences) 、 World Wide Web 、 Internet privacy 、 Exploit 、 Recommender system 、 Personally identifiable information 、 Computer science
摘要: Recommendation services capture and exploit personal information such as demographic attributes, preferences, user behaviors on the internet. It is known that some users feel uneasiness regarding acquisition by systems have concern over their online privacy. Investigating structure of evaluating effect to acceptance recommender an important issue develop user-accepting services. In this study, we developed model based a large-scale internet survey using 60 kinds pseudo-services.
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