Influences of customer preference development on the effectiveness of recommendation strategies

Most previous studies on recommendation agents have been restricted to the problems of uncovering customer preferences during the process of understanding customers. However, studies on consumer psychology have indicated that customer preferences are often unstable and developed over time. Therefore, we assert that it is necessary to observe the degree to which customer preferences are developed since effectiveness of recommendations is affected by customers' preference development. This study presents a scheme to identify the status of customers' preference development and analyzes the influences of customer preference development on the effectiveness of various recommendation strategies.

[1]  Eric T. Bradlow,et al.  Agents to the Rescue? , 1999 .

[2]  Karl T. Ulrich,et al.  USER DESIGN OF CUSTOMIZED PRODUCTS , 2007 .

[3]  Peter Funk,et al.  Category-Based Filtering in Recommender Systems for Improved Performance in Dynamic Domains , 2002, AH.

[4]  I. Simonson,et al.  Determinants of Customers' Responses to Customized Offers: Conceptual Framework and Research Propositions , 2003 .

[5]  Izak Benbasat,et al.  E-Commerce Product Recommendation Agents: Use, Characteristics, and Impact , 2007, MIS Q..

[6]  Eric J. Johnson,et al.  Behavioral decision research: A constructive processing perspective. , 1992 .

[7]  M. F. Luce,et al.  Constructive Consumer Choice Processes , 1998 .

[8]  Stacy Wood,et al.  Prior Knowledge and Complacency in New Product Learning , 2002 .

[9]  John G. Lynch,et al.  Interactive Home Shopping: Consumer, Retailer, and Manufacturer Incentives to Participate in Electronic Marketplaces , 1997 .

[10]  Daniel G Goldstein,et al.  Making better decisions: from measuring to constructing preferences. , 2005, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

[11]  Katherine N. Lemon,et al.  Dynamic Customer Relationship Management: Incorporating Future Considerations into the Service Retention Decision , 2002 .

[12]  A. Freeman,et al.  The measurement of environmental and resource values , 1992 .

[13]  P. Slovic The Construction of Preference , 1995 .

[14]  D. Ariely,et al.  Constructing Stable Preferences: A Look Into Dimensions of Experience and Their Impact on Preference Stability , 1999 .

[15]  Jonathan L. Herlocker,et al.  Evaluating collaborative filtering recommender systems , 2004, TOIS.

[16]  John W. Payne,et al.  Measuring Constructed Preferences: Towards a Building Code , 1999 .

[17]  Valerie J. Trifts,et al.  Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids , 2000 .

[18]  Yogesh V. Joshi,et al.  Putting one-to-one marketing to work: Personalization, customization, and choice , 2008 .

[19]  Steven Guan,et al.  Evolutionary intelligent agents for e-commerce: Generic preference detection with feature analysis , 2005, Electron. Commer. Res. Appl..

[20]  Karl T. Ulrich,et al.  Research Note: User Design of Customized Products , 2007 .

[21]  M. Rabin Psychology and Economics , 1997 .

[22]  J. Bettman,et al.  Effects of Prior Knowledge and Experience and Phase of the Choice Process on Consumer Decision Processes: A Protocol Analysis , 1980 .

[23]  Dan Ariely,et al.  Path dependent preferences: The role of early experience and biased search in preference development , 2006 .

[24]  V. Swaminathan The Impact of Recommendation Agents on Consumer Evaluation and Choice: The Moderating Role of Category Risk, Product Complexity, and Consumer Knowledge , 2003 .

[25]  R. Kohli,et al.  Internet Recommendation Systems , 2000 .

[26]  Frank R. Kardes,et al.  Construal-Level Effects on Preference Stability, Preference-Behavior Correspondence, and the Suppression of Competing Brands , 2006 .

[27]  G. Häubl,et al.  Preference Construction and Persistence in Digital Marketplaces: The Role of Electronic Recommendation Agents , 2003 .

[28]  Daniel C. Krawczyk,et al.  (www.interscience.wiley.com) DOI: 10.1002/bdm.575 The Transience of Constructed Preferences , 2008 .

[29]  P. M. West Predicting Preferences: An Examination of Agent Learning , 1996 .

[30]  Yoon Ho Cho,et al.  A personalized recommendation procedure for Internet shopping support , 2002, Electron. Commer. Res. Appl..

[31]  Daniel McFadden,et al.  Rationality for Economists , 1999 .

[32]  Gilmore Jh,et al.  The four faces of mass customization. , 1997 .

[33]  Brian A Iwata,et al.  Some determinants of changes in preference over time. , 2006, Journal of applied behavior analysis.

[34]  A. A. Mitchell,et al.  The Assessment of Alternative Measures of Consumer Expertise , 1996 .

[35]  Dietmar Jannach,et al.  Comparing Recommendation Strategies in a Commercial Context , 2007, IEEE Intelligent Systems.

[36]  A. Tversky,et al.  Contingent weighting in judgment and choice , 1988 .

[37]  Yongtae Park,et al.  Multidimensional credibility model for neighbor selection in collaborative recommendation , 2009, Expert Syst. Appl..

[38]  Yongtae Park,et al.  Collaborative Filtering Using Dual Information Sources , 2007, IEEE Intelligent Systems.