GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Learning and Revising User Profiles: The Identification ofInteresting Web Sites
Machine Learning - Special issue on multistrategy learning
The Wasabi Personal Shopper: a case-based recommender system
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
The FindMe Approach to Assisted Browsing
IEEE Expert: Intelligent Systems and Their Applications
Compound Critiques for Conversational Recommender Systems
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
TelMeA: expressive avatars in asynchronous communications
International Journal of Human-Computer Studies - Special issue: Subtle expressivity for characters and robots
Koba4MS: Selling Complex Products and Services Using Knowledge-Based Recommender Technologies
CEC '05 Proceedings of the Seventh IEEE International Conference on E-Commerce Technology
SERA '06 Proceedings of the Fourth International Conference on Software Engineering Research, Management and Applications
A comparison of two compound critiquing systems
Proceedings of the 12th international conference on Intelligent user interfaces
Guest Editors' Introduction: Recommender Systems
IEEE Intelligent Systems
Acquiring and Revising Preferences in a Critique-Based Mobile Recommender System
IEEE Intelligent Systems
An Integrated Environment for the Development of Knowledge-Based Recommender Applications
International Journal of Electronic Commerce
Developing embodied agent-based user interface by using interactive drama markup language
Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication
Evaluating critiquing-based recommender agents
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Knowledge-Based Systems
A comparative study of compound critique generation in conversational recommender systems
AH'06 Proceedings of the 4th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
An XML-Based Multiagent System for Supporting Online Recruitment Services
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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With the fast development of e-commerce, a large number variety of information existed on the Internet. Many researches tend to design a recommender system for assisting users to search the information that they have interested over the internet. The knowledge-based recommendation is one of solutions to guide the users to provide their needs, and further create a user preference model. In the past, agents commonly played the role of information retriever in a recommender system. Agents have the capability of autonomy and cooperation to assist in collecting the users' profiles and analyzing users' preferences. However, few of researches adopted embodied conversational agents (ECAs) to interact with users. In this study, we design an interactive agent system to support the knowledge-based recommendation. In addition to recommend products by using the knowledge from users' profiles, the knowledge-based approach also emphasizes the system should explain the cause of the recommendation result. For this reason, this study used ECAs to promote and explain recommendation results. As a result, our proposed system could reach the purpose of advertising products and receiving user feedbacks. In this paper, to demonstrate the usability of our system, we implement the interactive agent system in an e-novel web site, called Angel City, for recommending e-novels to readers.