A ranking method for multimedia recommenders
Proceedings of the ACM International Conference on Image and Video Retrieval
A recommendation strategy based on user behavior in digital ecosystems
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
Mobile Networks and Applications
Preference elicitation techniques for group recommender systems
Information Sciences: an International Journal
A product network analysis for extending the market basket analysis
Expert Systems with Applications: An International Journal
A literature review and classification of recommender systems research
Expert Systems with Applications: An International Journal
Generating recommendations for consensus negotiation in group personalization services
Personal and Ubiquitous Computing
Electronic Commerce Research and Applications
SNOPS: a smart environment for cultural heritage applications
Proceedings of the twelfth international workshop on Web information and data management
A personalized trustworthy seller recommendation in an open market
Expert Systems with Applications: An International Journal
Towards a user based recommendation strategy for digital ecosystems
Knowledge-Based Systems
International Journal of Multimedia Data Engineering & Management
Exploiting two-faceted web of trust for enhanced-quality recommendations
Expert Systems with Applications: An International Journal
Security similarity based trust in cyber space
Knowledge-Based Systems
A Multimedia Recommender System
ACM Transactions on Internet Technology (TOIT)
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Personalization services in a ubiquitous computing environment—ubiquitous personalization services computing—are expected to emerge in diverse environments. Ubiquitous personalization must address limited computational power of personal devices and potential privacy issues. Such characteristics require managing and maintaining a client-side recommendation model for ubiquitous personalization. To implement the client-side recommendation model, this paper proposes Buying-net, a customer network in ubiquitous shopping spaces. Buying-net is operated in a community, called the Buying-net space, of devices, customers, and services that cooperate together to achieve common goals. The customers connect to the Buying-net space using their own devices that contain software performing tasks of learning the customers' preferences, searching for similar customers for network formation, and generating recommendation lists of items. Buying-net attempts to improve recommendation accuracy with less computational time by focusing on local relationship of customers and newly obtained information. We experimented with such customer networks in the area of multimedia content recommendation and validated that Buying-net outperformed a typical collaborative-filtering-based recommender system on accuracy as well as computational time. This shows that Buying-net has good potential to be a system for ubiquitous shopping.