The effect of context-aware recommendations on customer purchasing behavior and trust

RecSys'11 - Proceedings of the 5th ACM Conference on Recommender Systems

Volumn , Issue , 2011, Pages 85-92

  Gorgoglione, Michele ^a   Panniello, Umberto ^a   Tuzhilin, Alexander ^b  

^a POLITECNICO DI BARI   (Italy)

^b NEW YORK UNIVERSITY   (United States)

Author keywords

accuracy; context; diversity; purchasing behavior; trust

Indexed keywords

ACCURACY; CONTENT-BASED; CONTEXT; CONTEXT-AWARE; CONTEXT-AWARE RECOMMENDER SYSTEMS; CONTROLLED EXPERIMENT; DIVERSITY; PERFORMANCE METRICS; TRUST;

CUSTOMER SATISFACTION; RECOMMENDER SYSTEMS;

SALES;

EID: 82555181743     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2043932.2043951     Document Type: Conference Paper

References (35)

1. Adomavicius, G. and Kwon, Y. O. 2010. Improving aggregate recommendation diversity using ranking-based techniques. Forthcoming on IEEE Trans. Kn. Data Eng.
2. Adomavicius, G., Sankaranarayanan, R., Sen, S. and Tuzhilin, A. 2005. Incorporating contextual information in recommender systems using a multidimensional approach. ACM Trans. Inf. Sys. 23, 103-145. (Pubitemid 40245827)
3. Adomavicius, G. and Tuzhilin, A. 2005. Towards the next generation of recommender systems: A survey of the state-of-the art and possible extensions. IEEE Trans. Kn. Data Eng. 17, 6, 734-749. (Pubitemid 40860454)
4. Adomavicius, G. and Tuzhilin, A. 2011. Context-Aware Recommender Systems. In Handbook on Recommender Systems, Ed. Springer.
5. Barnes, J.W. 1994. Statistical Analysis for Engineers and Scientists. McGraw Hill, Singapore, 1994.
6. Baumol, W. E. and Ide. A. 1956. Variety in retailing. Man. Sci. 3, 1, 93-101.
7. Beldad, A., de Jong, M., Steehouder, M. 2010. How shall I trust the faceless and the intangible? A literature review on the antecedents of online trust. Computers in Human Behavior 26, 5, 857-869.
8. Bharati, P. and Chaudhury, A. 2004. An Empirical Investigation of Decision-Making Satisfaction in Web-Based Decision Support Systems. Dec. Sup. Sys. 37, 2, 187-197.
9. Brynjolfsson, E., Smith, M. D. and Hu, Y. 2003. Consumer Surplus in the Digital Economy: Estimating the Value of Increased Product Variety at Online Booksellers. Man. Sci. 49, 11, 1580-1596.
10. Cooke, A. D. J., Sujan, H., Sujan, M., Weitz, B. A. 2002. Marketing the unfamiliar: The role of context and item-specific information in electronic agent recommendations. J. of Marketing Res. 39, 4, 488-497.
11. Doney, P. M., and Cannon, J. P. 1997. An examination of the nature of trust in buyer-seller relationships. J. Marketing, 61, 35-51.
12. Dourish, P. 2004. What we talk about when we talk about context. Personal and Ubiquitous Computing 8, 19-30.
13. Fleder, D., and Hosanagar, K. 2009. Blockbuster culture's next rise or fall: The impact of recommender systems on sales diversity. Man. Sci. 55, 5, 697-712.
14. Flynn, L. J. 2006. Like This? You'll Hate That. New York Times, Jan. 23, 1.
15. Herlocker, J. L., Konstan, J. A., Terveen, L. G., and Riedl, J. T. 2004. Evaluating collaborative filtering recommender systems. ACM Trans. Inf. Sys. 22, 5-53
16. Hess, T. J., Fuller, M. A., and Mathew, J. 2005. Involvement and Decision-Making Performance with a Decision Aid: The Influence of Social Multimedia, Gender, and Playfulness. J. Man. Inf. Sys. 22, 3, 15-54. (Pubitemid 44376852)
17. Kahn, B., and Lehmann D. R. 1991. Modeling choice among assortments. J. Retailing 67, 3, 274-299.
18. Komiak, S., and Benbasat, I. 2006. The Effects of Personalization and Familiarity on Trust and Adoption of Recommendation Agents. MIS Quarterly 30, 4, 941-960. (Pubitemid 46051910)
19. Kwon, O, and Kim, J. 2009. Concept lattices for visualizing and generating user profiles for context-aware service recommendations. Exp. Sys. with Appl. 36, 1893-1902.
20. Lenzini, G., Houten, Y.V., Huijsen, W., and Melenhorst, M. 2009. Shall I Trust a Recommendation? Towards an Evaluation of the Trustworthiness of Recommender Sites. In Proceedings of ADBIS Workshop. 121-128.
21. Liang T. P., Lai H. J. and Ku Y. C. 2006. Personalized Content Recommendation and User Satisfaction: Theoretical Synthesis and Empirical Findings, J. Man. Inf. Sys. 23, 3, 45-70.
22. Mayer, R. C., Davis, J. H., and Schoorman, F. D. 1995. An integrative model of organization trust. Academy Man. Rev. 20, 3, 709-734.
23. Mcginty, L., and Smyth, B. 2003. On the role of diversity in conversational recommender systems. In Proceedings of the Fifth International Conference on Case-Based Reasoning. 276-290.
24. Mui, Y.Q. 2006. Wal-Mart Blames Web Site Incident on Employee's Error. Washington Post, Jan. 7.
25. Panniello, U., Tuzhilin, A., Gorgoglione, M., Palmisano C., and Pedone, A. 2009. Experimental comparison of pre- vs. post-filtering approaches in context-aware recommender systems. In Proceedings of RecSys '09, 265-268.
26. Pathak, B., Garfinkel, R., Gopal, R. D., Venkatesan, R., and Yin, F. 2010. Empirical Analysis of the Impact of Recommender Systems on Sales. J. Man. Inf. Sys. 27, 2, 159-188.
27. Pazzani, M. J. and Billsus, D. 2007. Content-based recommendation systems. In The adaptive web, P. Brusilovsky, A. Kobsa, and W. Nejdl, Eds. Lecture Notes In Computer Science, Vol. 4321. Springer-Verlag, 325-341.
28. Schafer, J. B., Konstan, J. A., and Riedl, J. 2001. Ecommerce recommendation applications. Data Min. Kn. Disc. 5, 1, 115-153.
29. Schoorman, F. D., Mayer, R. C., and Davis, J. H. 2007. An integrative model of organizational trust: Past, present, and future. Academy Man. Rev. 32, 2, 344-354.
30. Shannon, C. 1948. A Mathematical Theory of Communication. Bell system Technical Journal, 27.
31. Simonson, I. 2005. Determinants of customers' responses to customized offers: conceptual framework and research propositions. J. Marketing 69, 1, 32-45. (Pubitemid 40195117)
32. Sinha, R., and Swearingen, K. 2001. Comparing Recommendations Made by Online Systems and Friends. In Proceedings of the 2nd DELOS Workshop on Personalisation and Recommender Systems, Dublin, Ireland, June 18-20.
33. Swearingen, K., and Sinha, R. 2001. Beyond Algorithms: An HCI Perspective on Recommender Systems. In Proceedings of the ACM SIGIR Workshop on Recommender Systems, New Orleans, LA, September 13.
34. Wang, W., and Benbasat, I. 2005. Trust In and Adoption of Online Recommendation Agents. J. of the AIS. 6, 3, 72-100.
35. Xiao B. and Benbasat I. 2007. E-commerce Product Recommendation Agents: Use, Characteristics, and Impact. MIS Quarterly. 31, 1, 137-209. (Pubitemid 46382521)