The performance of recommender systems in online shopping: A user-centric study

Expert Systems with Applications

Volumn 40, Issue 14, 2013, Pages 5551-5562

  Dabrowski, MacIej ^a   Acton, Thomas ^b  

^a NATIONAL UNIVERSITY OF IRELAND   (Ireland)

^b NATIONAL UNIVERSITY OF IRELAND   (Ireland)

Author keywords

Decision theory; E commerce; Preference relaxation; Recommender systems

Indexed keywords

E-COMMERCE WEBSITES; FILTERING MECHANISM; PERFORMANCE OF RECOMMENDER SYSTEMS; PREFERENCE RELAXATION; REAL-WORLD DATASETS; RELAXATION METHODS; RELAXATION TECHNIQUES; USER EXPERIMENTS;

DECISION MAKING; DECISION SUPPORT SYSTEMS; DECISION THEORY; RECOMMENDER SYSTEMS;

ELECTRONIC COMMERCE;

EID: 84877864159     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2013.04.022     Document Type: Article

References (74)

1. Aksoy, L., & Bloom, P. N. (2001). Impact of ordered alternative lists on decision quality: The role of perceived similarity. In Society for consumer research winter conference. Scottsdale, AZ, USA.
2. R.L. Andrews, and T.C. Srinivasan Studying consideration effects in empirical choice models using scanner panel data Journal of Marketing Research 32 1 1995 30 41 http://search.epnet.com/login.aspx?direct=true&db= buh&an=9502160611&loginpage=Login.asp&site=ehost
3. P. Aurier, S. Jean, and J.L. Zaichkowsky Consideration set size and familiarity with usage context Advances in Consumer Research 27 1 2000 307 313 http://search.epnet.com/login.aspx?direct=true&db=buh&an= 6688136&loginpage=Login.asp&site=ehost
4. Basartan, Y. (2001). Amazon versus the shopbot: An experiment about how to improve the shopbots. Pittsburgh, PA: Carnegie Mellon University.
5. W.O. Bearden, D.M. Hardesty, and R.L. Rose Consumer self-confidence: refinements in conceptualization and measurement The Journal of Consumer Research 28 1 2001 121 134 http://www.jstor.org/stable/254327
6. R. Bergmann, S. Schmitt, and A. Stahl Intelligent customer support for product selection with case-based reasoning. E-commerce and intelligent methods 2002 Physica-Verlag pp. 322-341
7. J.R. Bettman, E.J. Johnson, M.F. Luce, and J.W. Payne Correlation, conflict, and choice Journal of Experimental Psychology-Learning Memory and Cognition 19 4 1993 931 951 ://A1993LL83700016
8. S. Borzsonyi, D. Kossmann, and K. Stocker The skyline operator 17th international conference on data engineering 2001 Heidelberg, Germany IEEE Computer Soc. 421 430 Retrieved from ://000168248100048 (Pubitemid 32457144)
9. P. Bosc, A. Hadjali, and O. Pivert Incremental controlled relaxation of failing flexible queries Journal of Intelligent Information Systems 33 3 2009 261 283 http://dx.doi.org/10.1007/s10844-008-0071-6
10. L. Branting Optimizing return-set size for requirements satisfaction and cognitive load Proceedings of the third international symposium on electronic commerce 2002 IEEE Computer Society New York
11. D. Bridge, M.H. Goker, L. McGinty, and B. Smyth Case-based recommender systems Knowledge Engineering Review 20 3 2005 315 320 10.1017/S0269888906000567
12. S.Y. Chen, and R.D. Macredie The assessment of usability of electronic shopping: A heuristic evaluation International Journal of Information Management 25 6 2005 516 532 10.1016/j.ijinfomgt.2005.08.008 (Pubitemid 41563249)
13. M. Dabrowski, and T. Acton Modelling preference relaxation in e-commerce IEEE international conference on fuzzy systems FUZZ-IEEE 2010 Barcelona, Spain IEEE
14. M. Dabrowski, T. Acton, and H. Van der Heijden Intelligent product search with soft-boundary preference relaxation Expert Systems with Applications 39 9 2012 8279 8287 10.1016/j.eswa.2012.01.144
15. Dabrowski, M., & Acton, T. (2010b). Comparing techniques for preference relaxation: A decision theory perspective. In 11th International conference on electronic commerce and web technologies (EC-Web 2010). Bilbao, Spain.
16. K. Diehl, L.J. Kornish, and J.G. Lynch Jr. Smart agents: When lower search costs for quality information increase price sensitivity The Journal of Consumer Research 30 1 2003 56 71 http://www.jstor.org/stable/3132093
17. M.J. Eppler, and J. Mengis The concept of information overload: A review of literature from organization science, accounting, marketing, MIS, and related disciplines Information Society 20 5 2004 325 344 10.1080/01972240490507974 (Pubitemid 39454128)
18. A. Felfernig, G. Friedrich, D. Jannach, and M. Zanker An integrated environment for the development of knowledge-based recommender applications International Journal of Electronic Commerce 11 2 2007 11 34 10.2753/JEC1086-4415110201
19. A. Felfernig, M. Mairitsch, M. Mandl, M. Schubert, and E. Teppan Utility-based repair of inconsistent requirements Next-Generation Applied Intelligence 2009 162 171 10.1007/978-3-642-02568-6-17
20. M.G. Fennema, and D.N. Kleinmuntz Anticipations of effort and accuracy in multiattribute choice Organizational Behavior and Human Decision Processes 63 1 1995 21 32 ://A1995RJ74500003
21. T.J. Gilbride, and G.M. Allenby A choice model with conjunctive, disjunctive, and compensatory screening rules Marketing Science 23 3 2004 391 406 10.1287/mksc.1030.0032 (Pubitemid 39332888)
22. Hagen, P. R., Manning, H., & Paul, Y. (2000). Must search stink? The Forrester report.
23. G. Häubl, and K.B. Murray Preference construction and persistence in digital marketplaces: The role of electronic recommendation agents Journal of Consumer Psychology 13 1-2 2003 75 91 ://000183066500008 (Pubitemid 36714434)
24. G. Häubl, and K.B. Murray "Double agent": Assessing the role of electronic product recommendation systems Sloan Management Review 47 3 2005 8 12
25. G. Häubl, and V. Trifts Consumer decision making in online shopping environments: The effects of interactive decision aids Marketing Science 19 1 2000 4 21 ://000087056200002
26. S.J.S. Holden Individual and situational influences on purchase goal specification Advances in Consumer Research 21 1 1994 589 http://search.epnet. com/login.aspx?direct=true&db=buh&an=9407060474&loginpage=Login. asp&site=ehost
27. R.E. Hostler, V.Y. Yoon, and T. Guimaraes Assessing the impact of internet agent on end users' performance Decision Support Systems 41 1 2005 313 323 10.1016/j.dss.2004.07.002 (Pubitemid 41375580)
28. M.D. Johnson, and D.R. Lehmann Consumer experiences and consideration sets for brands and product categories Advances in Consumer Research 24 1 1997 295 300 http://search.epnet.com/login.aspx?direct=true&db=buh&an= 9706280193&loginpage=Login.asp&site=ehost
29. E.J. Johnson, and J.W. Payne Effort and accuracy in choice Management Science 31 4 1985 395 414 ://A1985AFW9200002
30. R.L. Keeney, and H. Raiffa Decisions with Multiple Objectives: Preferences and Value Tradeoffs 1976 John Wiley and Sons New York
31. J.K. Kim, H.K. Kim, and Y.H. Cho A user-oriented contents recommendation system in peer-to-peer architecture Expert Systems with Applications 34 1 2008 300 312 10.1016/j.eswa.2006.09.034 (Pubitemid 46778980)
32. N.M. Klein Assessing unacceptable attribute levels in conjoint-analysis Advances in Consumer Research 14 1987 154 158 :// A1987H561000037
33. D.B. Klenosky, and W.S. Perkins Deriving attribute utilities from consideration sets: An alternative to self-explicated utilities Advances in Consumer Research 19 1 1992 657 663 http://search.epnet.com/login.aspx?direct= true&db=buh&an=9301106594&loginpage=Login.asp&site=ehost
34. S.Y.X. Komiak, and I. Benbasat Understanding customer trust in agent-mediated electronic commerce, web-mediated electronic commerce, and traditional commerce Information Technology and Management 5 1-2 2004 181 207
35. S.Y.X. Komiak, and I. Benbasat The effects of personalization and familiarity on trust and adoption of recommendation agents MIS Quarterly 30 4 2006 941 960 (Pubitemid 46051910)
36. W.-P. Lee, C.-H. Liu, and C.-C. Lu Intelligent agent-based systems for personalized recommendations in internet commerce Expert Systems with Applications 22 4 2002 275 284 http://www.sciencedirect.com/science/article/ B6V03-454TNN5-1/2/4d675ef747c2dbf62fbe0657d4ae3d6d (Pubitemid 34545498)
37. S. McNee, S. Lam, J. Konstan, and J. Riedl Interfaces for eliciting new user preferences in recommender systems User modeling 2003 2702 2003 Springer Berlin/Heidelberg 148 10.1007/3-540-44963-9-24
38. D. McSherry Retrieval failure and recovery in recommender systems Artificial intelligence review 24 2004 Springer Castlebar, IRELAND, Netherlands 319 338 10.1007/s10462-005-9000-z
39. N. Mirzadeh, and F. Ricci Cooperative query rewriting for decision making support and recommender systems Applied Artificial Intelligence 21 10 2007 895 932 10.1080/08839510701527515 (Pubitemid 350125656)
40. N. Mirzadeh, R. Ricci, and M. Bansal Supporting user query relaxation in a recommender system K. Bauknecht, M. Bichler, B. Proll, 5th international conference on e-commerce and web technology 2004 Springer-Verlag Zaragoza, Berlin, Spain 31 40
41. R. Moore, and G.N. Punj An investigation of agent assisted consumer information search: Are consumers better off? Advances in Consumer Research 28 1 2001 128
42. K.B. Murray, and G. Häubl The fiction of no friction: A user skills approach to cognitive lock-in Advances in Consumer Research 29 1 2002 11 18 http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN= 7701333&site=ehost-live
43. K.B. Murray, and G. Häubl Personalization without interrogation: Towards more effective interactions between consumers and feature-based recommendation agents Journal of Interactive Marketing 23 2 2009 138 146 http://www.sciencedirect.com/science/article/B94SX-4W034GY-2/2/ bf70093df5b49c647bec54a94ef43571
44. P. Nedungadi Recall and consumer consideration sets: Influencing choice without altering brand evaluations The Journal of Consumer Research 17 3 1990 263 276 http://www.jstor.org/stable/2626794
45. E.L. Olson, and R.E. Widing Are interactive decision aids better than passive decision aids? A comparison with implications for information providers on the internet Journal of Interactive Marketing 16 2 2002 22 33 http://www.sciencedirect.com/science/article/B94SX-4XP2B3W-2/2/ bc08a1371b4bc75b921264cdcbdf1f4b
46. J.F. Parra, and S. Ruiz Consideration sets in online shopping environments: The effects of search tool and information load Electronic Commerce Research and Applications 8 5 2009 252 262 10.1016/j.elerap.2009.04.005
47. J.W. Payne, J.R. Bettman, and E.J. Johnson Behavioral decision research: A constructive processing perspective Annual Review of Psychology 43 1992 87 131 10.1146/annurev.ps.43.020192.000511
48. J.W. Payne, J.R. Bettman, and E.J. Johnson The adaptive decision maker 1993 Cambridge University Press
49. J.W. Payne, J.R. Bettman, and D.A. Schkade Measuring constructed preferences: Towards a building code Symposium on elicitation of preferences 1999 Kluwer Academic Publ Berkeley, California 243 270 Retrieved from ://000084459300022
50. R.E. Pereira Influence of query-based decision aids on consumer decision making in electronic commerce Information Resources Management Journal 14 1 2001 31 48
51. P. Pu, and B. Faltings Enriching buyers' experiences: the SmartClient approach Proceedings of the SIGCHI conference on Human factors in computing systems 2000 ACM The Hague, The Netherlands 10.1145/332040.332446
52. P. Pu, P. Viappiani, and B. Faltings Increasing user decision accuracy using suggestions Proceedings of the SIGCHI conference on Human factors in computing systems 2006 ACM Montreal, Quebec, Canada 10.1145/1124772.1124793
53. P. Resnick, and H.R. Varian Recommender systems Communications of the ACM 40 3 1997 56 58 10.1145/245108.245121 (Pubitemid 127441130)
54. J.H. Roberts, and J.M. Lattin Development and testing of a model of consideration set Journal of Marketing Research 28 4 1991 429 440 http://search.epnet.com/login.aspx?direct=true&db=buh&an= 9602205266&loginpage=Login.asp&site=ehost
55. A. Shocker, M. Ben-Akiva, B. Boccara, and P. Nedungadi Consideration set influences on consumer decision-making and choice: Issues, models, and suggestions Marketing Letters 2 3 1991 181 197 10.1007/bf02404071
56. I. Simonson, S. Nowlis, and K. Lemon The effect of local consideration sets on global choice between lower price and higher quality Marketing Science 12 4 1993 357 377 http://www.jstor.org/stable/183935
57. Spiekerman, S. (2001). Online information search with electronic agents: Drivers, impediments, and privacy issue. Berlin: Humboldt University Berlin.
58. A. Stahl Combining case-based and similarity-based product recommendation T.R. RothBerghofer, M.H. Goker, H.A. Guvenir, 8th European conference on case-based reasoning 2006 Springer-Verlag Berlin Fethiye, TURKEY 355 369 Retrieved from ://000240904600027 (Pubitemid 44743948)
59. M. Stolze Soft navigation in product catalogs Research and advanced technology for digital libraries 2009 Springer Berlin/Heidelberg 506 10.1007/3-540-49653-X-23
60. Swearingen, K., & Sinha, R. (2001). Beyond algorithms: An HCI perspective on recommender systems. In ACM SIGIR 2001 workshop on recommender systems. Retrieved from citeulike-article-id:375842.
61. J. Sweller, P. Chandler, P. Tierney, and M. Cooper Cognitive load as a factor in the structuring of technical material Journal of Experimental Psychology: General 119 2 1990 176 192 http://www.sciencedirect.com/science/ article/B6X07-46X437G-4/2/75dcbe3c11d83b02d189a45528eefafc
62. P. Todd, and I. Benbasat An experimental investigation of the relationship between decision-makers, decision aids and decision-making effort Infor 31 2 1993 80 100 ://A1993LG10200003
63. P. Todd, and I. Benbasat The influence of decision aids on choice strategies - An experimental-analysis of the role of cognitive effort Organizational Behavior and Human Decision Processes 60 1 1994 36 74 ://A1994PL22900003
64. P. Todd, and I. Benbasat Evaluating the impact of DSS, cognitive effort, and incentives on strategy selection Information Systems Research 10 4 1999 356 374 ://000085176400005
65. O. Turetken, and R. Sharda Development of a fisheye-based information search processing aid (FISPA) for managing information overload in the web environment Decision Support Systems 37 3 2004 415 434 10.1016/S0167-9236(03) 00047-2
66. H. Van der Heijden Mobile decision support for in-store purchase decisions Decision Support Systems 42 2 2006 656 663 10.1016/j.dss.2005.03.006 (Pubitemid 44537465)
67. van der Heijden, H., & Sørensen, L. S. (2002). The mobile decision maker: Mobile decision aids, task complexity, and decision effectiveness. Technical University of Denmark: Center for Tele-Information.
68. P. Viappiani, P. Pu, and B. Faltings Conversational recommenders with adaptive suggestions Proceedings of the 2007 ACM conference on recommender systems 2007 ACM Minneapolis, MN, USA 10.1145/1297231.1297246 (Pubitemid 351528417)
69. P. Viappiani, P. Pu, and B. Faltings Preference-based search with adaptive recommendations AI Communications 21 2-3 2008 155 175
70. W. Wang, and I. Benbasat Trust in and adoption of online recommendation agents Journal of the Association for Information Systems 6 3 2005 72 101
71. Wauters, R. (2011). Forrester: Online retail industry in the us will be worth $279 billion in 2015|TechCrunch. Retrieved November 15, 2012, from http://techcrunch.com/2011/02/28/forrester-online-retail-industry-in-the-us- will-be-worth-279-billion-in-2015/.
72. J. Wu, and A. Rangaswamy A fuzzy set model of search and consideration with an application to an online market Marketing Science 22 3 2003 http://search.epnet.com/login.aspx?direct=true&db=buh&an= 11080770&loginpage=Login.asp&site=ehost
73. B. Xiao, and I. Benbasat E-commerce product recommendation agents: Use, characteristics and impact MIS Quarterly 31 1 2007 137 209 citeulike-article-id: 2191562 (Pubitemid 46382521)
74. Y. Zhang, and J.R. Jiao An associative classification-based recommendation system for personalization in B2C e-commerce applications Expert Systems with Applications 33 2 2007 357 367 10.1016/j.eswa.2006.05.005 (Pubitemid 46150042)