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Measuring the Credibility of Recommender Systems

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Information and Communication Technologies in Tourism 2006
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Abstract

Recommender systems promise to support travelers in complex decision-making processes; however, whether a recommendation is seen as credible advice and actually taken into account not only depends on travelers’ perceptions of the recommendation but also the system as the advice-giver. Trust has been identified as an important factor in online relationships but it is often focused on security issues that are of lesser relevance for recommender systems. It is argued that conceptualizations of trust in terms of credibility are more important to evaluate the persuasiveness of recommender systems. The findings of a study to develop and test credibility measures for recommender systems are presented and implications for future research are discussed.

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References

  • Alba, J. and W. Hutchinson (2000). Knowledge Calibration: What Consumers Know and What They Think They Know. Journal of Consumer Research, 27 (September): 123–156.

    Google Scholar 

  • Ang, L., Dubelaar, C., & Lee, B. C. (2001). To trust or not to trust? A model of internet trust from the customer’s point of view, In Proceedings of the 14 th Bled Electronic Commerce Conference (pp. 40–52), Bled, Slovenia

    Google Scholar 

  • Ba, S., Whinston, A.B. and Zhang, H. (1999). Building trust in the electronic market through an economic incentive mechanism. In De, P. & DeGross, J. I. (Eds.), Proceedings of the Twentieth International Conference on Information Systems, December 13–15, 208–213.

    Google Scholar 

  • Barwise, T. P., Hammond, K. A. & A. Elberse (2002). Marketing and the Internet. In Weitz, B. A. & R. Wensley (Eds.), Handbook of Marketing, pp. 527–557. London: Sage.

    Google Scholar 

  • Buller, D. B., & Burgoon, J. K. (1996). Interpersonal deception theory. Communication Theory, 6, 203–242.

    Article  Google Scholar 

  • Cheskin Research and Studio Archetype/Sapient. (1999). Ecommerce trust study. Available at: http://www.cheskin.com/p/ar.asp?mlid = 7&arid = 40&art = 0.

    Google Scholar 

  • Delgado-Ballester, E. (2004). Applicability of a brand trust scale across product categories: a multigroup invariance analysis. European Journal of Marketing, 38(5/6), 573–592.

    Article  Google Scholar 

  • DeYoung, C. G. & I. Spence (2004). Profiling information technology users: en route to dynamic personalization. Computers in Human Behavior, 20: 55–65.

    Article  Google Scholar 

  • Dholakia, U. P. & Bagozzi, R. P. (2001). Consumer behavior in digital environments. In J. Wind & V. Mahajan (Eds.), Digital Marketing: Global Strategies from the world’s leading experts. (pp. 163–200), Canada

    Google Scholar 

  • Emarketer (2005). My Way or the Web Way, eMarketer Daily, July 11, 2005

    Google Scholar 

  • Egger, F. N. (2001). Affective design of e-commerce user interface: How to maximize perceived trustworthiness, In Proceedings of the International Conference on Affective Human Factors Design. London: Asean Academic Press.

    Google Scholar 

  • Fitzsimons, G. J. & D. R. Lehmann (2004). Reactance to Recommendations: When Unsolicited Advice Yields Contrary Responses. Marketing Science, 23(1): 82–94.

    Article  Google Scholar 

  • Fogg, B. J., Lee, E. & Marshall, J. (2002). Interactive technology and persuasion. J. P. Dillard & M. Pfau (Eds). Persuasion handbook: Developments in theory and practice. (pp. 765–797). London, United Kingdom.

    Google Scholar 

  • Fogg. B. J., (2003). Credibility and computers. Persuasive technology: Using computers to change what we think and do (pp. 121–145). San Francisco.

    Google Scholar 

  • Gatignon, H., & Robertson, T. S. (1991). Innovative decision processes, Englewood Cliffs, NJ: Prentice Hall.

    Google Scholar 

  • Gefen, D. (2000). E-commerce: The role of familiarity and trust, Omega: The international journal of management science, 28(5), 725–737.

    Article  Google Scholar 

  • Gefen, D. (2002). Reflections on the dimensions of trust in online-shopping. Journal of Business Ethics, 39, 43–50.

    Article  Google Scholar 

  • Gefen, D., Rao, V. S. & Tractinsky, N. (2002). The conceptualization of trust, risk and their relationship in electronic commerce: the need for clarifications. Proceedings of the 36th Hawaii International Conference on System Sciences.

    Google Scholar 

  • Gretzel, U. & D. R. Fesenmaier (2005). Persuasiveness of Preference Elicitation Processes in Destination Recommendation Systems. In A. Frew (Ed.), Information and Communication Technologies in Tourism 2005. Vienna, Austria: Springer.

    Google Scholar 

  • Häubl, G. & K. B. Murray (2003). Preference Construction and Persistence in Digital Marketplaces: The Role of Electronic Recommendation Agents. Journal of Consumer Psychology, 13(1&2): 75–91.

    Article  Google Scholar 

  • Häubl, G. & V. Trifts (2000). Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids. Marketing. Marketing Science, 19(1): 4–21.

    Article  Google Scholar 

  • Henry P. (2005). Is the internet empowering consumers to make better decision, or strengthening marketers’ potential to persuade? C. P. Haugtved, K. A. Machleit & R. F. Yalch (Eds). Online Consumer Psychology. (pp. 345–360). New Jersey: Mahwah.

    Google Scholar 

  • Hoffman, D. L., Novak, T. P. & Peralta, M. (1999). Building consumer trust online. Communication of the ACM, 42(4), April, 80–85.

    Article  Google Scholar 

  • Jarvenpaa, S. L., Tractinsky, N. (1999). Consumer trust in an Internet store: a cross-cultural validation. Journal of Computer Mediated Communication, 5(2), 1–35.

    Google Scholar 

  • Jarvenpaa, S. L., Tractinsky, N. & Vitale, M. (2000). Consumer trust in an internet store. Information Technology and Management, 1(12), 45–71.

    Article  Google Scholar 

  • Kim, B.-D. & S.-O. Kim (2001). A new recommender system to combine content-based and collaborative filtering systems. Journal of Database Marketing, 8(3): 244–252.

    Article  Google Scholar 

  • Kim, K. & Prabhakar, B. (2000). Initial trust, perceived risk, and the adoption of internet banking. Proceeding of ICIS 2000.

    Google Scholar 

  • Kwon, O. B. (2003). I know what you need to buy: context-aware multimedia-based recommendation system. Expert Systems and Applications, 25, 387–400.

    Article  Google Scholar 

  • Lewis, J.D. & Weigert, A. J. (1985). Trust as a social reality. Social Forces (63), 967–985

    Article  Google Scholar 

  • Mayer, R. C., Davis, J. H. & Schoorman, F. D. (1995). An intergrative model of organizational trust. Academy of Management Review, 20, 709–734.

    Article  Google Scholar 

  • McKnight, D. H. & Chervany, N. L. (2001). Conceptualizing trust: A typology and E-Commerce customer relationships model. Proceedings of the 34th Hawaii International Conference on System Sciences, 1–10.

    Google Scholar 

  • Mishra, A. K. (1996). Organizational responses to crisis: the centrality of trust. In R. M. Kramer & T. R. Tyler (Eds.). Trust in Organizations: Frontiers of Theory and Research (pp. 261–287). Sage, Thousand Oaks, CA.

    Google Scholar 

  • Moorman, C., Zaltman, G. & R. Deshpande (1992). Relationship Between Providers and Users of Market Research: The Dynamics of Trust Within and Between Organizations. Journal of Marketing Research, 29(3): 314–328.

    Article  Google Scholar 

  • Nissenbaum, H. (2001). Securing trust online: Wisdom or oxymoron? Boston University Law Review, 81, 101–131.

    Google Scholar 

  • O’keefe, D. J. (2002). Persuasion: Theory & Research. Thousand Oaks, CA: Sage Publications.

    Google Scholar 

  • Petty, R. E., & Cacioppo, J. T. (1981). Attitudes and persuasion: Classic and contemporary approaches. Dubuque, IA: William C. Brown.

    Google Scholar 

  • Rhoads, K. V. & Cialdini, R. B. (2002). The Business of Influence. J. P. Dillard & M. Pfau (Eds). Persuasion handbook: Developments in theory and practice. (pp.513–542). London, United Kingdom.

    Google Scholar 

  • Ricci, F. (2002). Travel Recommender Systems. IEEE Intelligent Systems, 17(6): 55–57.

    MathSciNet  Google Scholar 

  • Self, C. S. (1996). Credibility, In M.B. Salwen & D.W. Stacks (Eds.), An integrated approach to communication theory and research (pp. 421–441). Mahwah, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Shapiro, S.P. (1987). The social control of impersonal trust. American Journal of Sociology, 93, 623–658.

    Article  Google Scholar 

  • Simonson, I. (2003). Determinants of Customer’s Responses to Customized Offers: Conceptual Framework and Research Propositions. Research Paper No. 1794. Stanford, CA: Stanford Graduate School of Business.

    Google Scholar 

  • Stepp, R. B. (1990). Virtual Man-Machine Systems. A Perspective on the Social Integration of AI Technologies. Proceedings of the 1990 ACM S1GBDP Conference on Trends and Directions in Expert Systems, pp. 33–51. New York: ACM.

    Chapter  Google Scholar 

  • Stewart, K., J. (1999). Transference as a means of building trust in World Wide Web sites. ICIS 1999.

    Google Scholar 

  • Swearingen, K. & R. Sinha (2001). Beyond Algorithms: An HCI Perspective on Recommender Systems. In Proceedings of the ACM SIGIR 2001 Workshop on Recommender Systems. New York: ACM.

    Google Scholar 

  • Taylor, R. G. (1989). The role of trust in labor-management relations. Organization Development Journal, Summer, 85–89.

    Google Scholar 

  • Urban, G., Sultan, F. & W. Quails (1999). Design and evaluation of a trust based advisor on the Internet. Proceedings of the MIT eCommerce Forum, 1–41.

    Google Scholar 

  • Wang, Y. D. & Emurian, H. H. (2004). An overview of online trust: Concepts, Elements and Implications. Computers in Human Behavior. Available: www.sciencedirect.com

    Google Scholar 

  • Westerink, J., Bakker, C., De Ridder, H. & H. Siepe (2002). Human factors in the design of a personalizable EPG: preference-indication strategies, habit watching and trust. Behaviour & Information Technology, 21(4): 249–258.

    Article  Google Scholar 

  • White, T. B. (2005). Consumer Trust and Advice Acceptance: The Moderating Roles of Benevolence, Expertise, and Negative Emotions. Journal of Consumer Psychology, 15(2): 141–148.

    Article  Google Scholar 

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© 2006 Springer-Verlag Wien

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Yoo, K., Gretzel, U. (2006). Measuring the Credibility of Recommender Systems. In: Hitz, M., Sigala, M., Murphy, J. (eds) Information and Communication Technologies in Tourism 2006. Springer, Vienna. https://doi.org/10.1007/3-211-32710-X_40

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  • DOI: https://doi.org/10.1007/3-211-32710-X_40

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-30987-2

  • Online ISBN: 978-3-211-32710-4

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