Abstract
‘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.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Fogg, B.J.: Persuasive Technologies. Communications of the ACM 42(5), 27–29 (1999)
Dormann, C.: Designing electronic shops, persuading customers to buy. In: Proceedings of the 26th Euromicro Conference, pp. 140–147 (2000)
Guerini, M., Stock, O., Zancanaro, M.: Persuasion Models for Intelligent Interfaces. In: Proceedings of the IJCAI Workshop on Computational Models of Natural Argument (2003)
Waern, Y., Ramberg, R.: People’s perception of human and computer advice. Computers in Human Behavior 12(1), 17–27 (1996)
Ricci, F., Werthner, H.: Case base querying for travel planning recommendation. Information Technology and Tourism 3, 215–266 (2002)
O‘Sullivan, D., Smyth, B., Wilson, D.: Understanding case-based recommendation: A similarity knowledge perspective. International Journal of Artificial Intelligence Tools (2005)
Burke, R.: Knowledge-based recommender systems. Encyclopedia of Library and Information Systems 69 (2000)
Jannach, D.: Advisor suite - a knowledge-based sales advisory system. In: European Conference on Artificial Intelligence - ECAI 2004 (2004)
Lucente, M.: Conversational interfaces for e-commerce applications. Communications of the ACM 43(9), 59–61 (2000)
Balabanovic, M., Shoham, Y.: Fab: Content-based, collaborative recommendation. Communications of the ACM 40(3), 66–72 (1997)
Sarwar, B., Karypis, G., Konstan, J., Riedl, J.: Analysis of recommendation algorithms for e-commerce. In: ACM Conference on e-Commerce (EC), pp. 158–167 (2000)
Burke, R.: Hybrid recommender systems: Survey and experiments. User Modeling and User-Adapted Interaction 12(4), 331–370 (2002)
Adamavicius, G., Tuzhilin, A.: Towards the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering 17(6) (2005)
Berdichevsky, D., Neuenschwander, E.: Toward an Ethics of Persuasive Technologies. Communications of the ACM 42(5), 51–58 (1999)
Khaslavsky, J., Shedroff, N.: Understanding the Seductive Experience. Communications of the ACM 42(5), 45–49 (1999)
Komiak, S., Wang, W., Benbasat, I.: Comparing Customer Trust in Virtual Salespersons With Customer Trust in Human Salespersons. In: Proceedings of the 38th Hawaii International Conference on System Sciences (HICSS) (2005)
Sung, H.H.: Helping Customers Decide through Web Personalization. IEEE Intelligent Systems 17(6), 34–43 (2002)
Jannach, D., Kreutler, G.: Personalized User Preference Elicitation for e-Services. In: Proceedings of the IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE) (2005)
Nass, C.I., Moon, Y., Fogg, B.J., Reeves, B., Dryer, D.C.: Can computer personalities be human personalities? International Journal of Human-Computer Studies 43, 223–239 (1995)
Suzuki, S.V., Yamada, S.: Persuasion through overheard communication by life-like agents. In: Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT), pp. 225–231 (2004)
Tedjamulia, S.J.J., Olsen, D.R., Dean, D.L., Albrecht, C.C.: Motivating Content Contributions to Online Communities: Toward a More Comprehensive Theory. In: Proceedings of the 38th Hawaii International Conference on System Sciences (HICSS) (2005)
Wilson, S., Bekker, M., Johnson, P., Johnson, H.: Helping and Hindering User Involvement - A Tale of Everyday Design. In: Proceedings of Conference on Human Factors in Computing Systems (CHI) (1997)
Tseng, S., Fogg, B.J.: Credibility and Computing Technology. Communications of the ACM 42(5), 39–44 (1999)
Swana, J.E., Bowersa, M.R., Richardson, L.D.: Customer Trust in the Salesperson: An Integrative Review and Meta-Analysis of the Empirical Literature. Journal of Business Research 44(2), 93–107 (1999)
Fogg, B.J., Nass, C.: How Users Reciprocate to Computers: An experiment that demonstrates behavior change. In: Proceedings of Conference on Human Factors in Computing Systems (CHI) (1997)
Jung, S., Harris, K., Webster, J., Herlocker, J.: Serf:integrating human recommendations with search. In: Thirteenth Conference on Information and Knowledge Management (CIKM 2004) (2004)
McCarthy, K., Reilly, J., McGinty, L., Smyth, B.: Experiments in Dynamic Critiquing. In: Proceedings of the Intelligent User Interfaces Conference (IUI), pp. 175–182 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zanker, M., Bricman, M., Gordea, S., Jannach, D., Jessenitschnig, M. (2006). Persuasive Online-Selling in Quality and Taste Domains. In: Bauknecht, K., Pröll, B., Werthner, H. (eds) E-Commerce and Web Technologies. EC-Web 2006. Lecture Notes in Computer Science, vol 4082. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11823865_6
Download citation
DOI: https://doi.org/10.1007/11823865_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37743-6
Online ISBN: 978-3-540-37745-0
eBook Packages: Computer ScienceComputer Science (R0)