Integrated personal recommender systems

Recommender Systems belong to a class of systems intended to assist individuals make evaluations about entities in meaningful ways. In this paper we discuss the issues in the design of integrated recommender systems and suggest a framework that takes the perspective of an individual functioning in multiple domains. This is particularly applicable today with the rapidly increasing diffusion of personalized, networked mobile devices. We present some preliminary design ideas in the form of a functional prototype. Categories and Subject Descriptors J.4 [Social and Behavioral Sciences]: Applications to assist personal decision making; H.4 [Information Systems and Applications]: Recommender Systems General Terms: Design, Economics, Management Keywords Personal Decision Making; Integrated Recommender Systems

• Type: Conference
• Year: 2007
• Where: ACMICEC
• Authors: Ronald Chung, David Sundaram, Ananth Srinivasan
• Keywords: ACMICEC 2007, Decision Making, ECommerce, Integrated Recommender Systems, Recommender Systems