Can computer personalities be human personalities?
International Journal of Human-Computer Studies
Fab: content-based, collaborative recommendation
Communications of the ACM
Helping and hindering user involvement — a tale of everyday design
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
Communications of the ACM
Credibility and computing technology
Communications of the ACM
Understanding the seductive experience
Communications of the ACM
Toward an ethics of persuasive technology
Communications of the ACM
Conversational interfaces for e-commerce applications
Communications of the ACM
Analysis of recommendation algorithms for e-commerce
Proceedings of the 2nd ACM conference on Electronic commerce
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
Helping Online Customers Decide through Web Personalization
IEEE Intelligent Systems
Persuasion Through Overheard Communication by Life-Like Agents
IAT '04 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
SERF: integrating human recommendations with search
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Experiments in dynamic critiquing
Proceedings of the 10th international conference on Intelligent user interfaces
Comparing Customer Trust in Virtual Salespersons With Customer Trust in Human Salespersons
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences - Volume 07
Motivating Content Contributions to Online Communities: Toward a More Comprehensive Theory
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences - Volume 07
Personalized User Preference Elicitation for e-Services
EEE '05 Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'05) on e-Technology, e-Commerce and e-Service
IEEE Transactions on Knowledge and Data Engineering
How users reciprocate to computers: an experiment that demonstrates behavior change
CHI EA '97 CHI '97 Extended Abstracts on Human Factors in Computing Systems
Case-studies on exploiting explicit customer requirements in recommender systems
User Modeling and User-Adapted Interaction
A case study on the effectiveness of recommendations in the mobile internet
Proceedings of the third ACM conference on Recommender systems
Persuasive recommendation: serial position effects in knowledge-based recommender systems
PERSUASIVE'07 Proceedings of the 2nd international conference on Persuasive technology
Rapid development of knowledge-based conversational recommender applications with advisor suite
Journal of Web Engineering
Accuracy improvements for multi-criteria recommender systems
Proceedings of the 13th ACM Conference on Electronic Commerce
Proceedings of the 13th International Conference on Electronic Commerce
How should I explain? A comparison of different explanation types for recommender systems
International Journal of Human-Computer Studies
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‘Quality & taste’ products like wine or fine cigars are one of the fastest growing product sectors in e-commerce. Online shops for these types of products require on the one side persuasive Web presentation and on the other side deep product knowledge. In that context recommender applications may help to create an enjoyable shopping experience for online users. The Advisor Suite framework is a knowledge-based conversational recommender system that aims at mediating between requirements and desires of online shoppers and technical characteristics of the product domain. In this paper we present a conceptual scheme to classify the driving factors for creating a persuasive online shopping experience with recommender systems. We discuss these concepts on the basis of several fielded applications. Furthermore, we give qualitative results from a long-term evaluation in the domain of Cuban cigars.