Personalized Content Recommendation and User Satisfaction: Theoretical Synthesis and Empirical Findings

References

• Adomavicius, G., and Tuzhilin, A. Personalization technologies: A process-oriented perspective. Communications of the ACM, 48, 10 (2005), 83-90.
   Google Scholar
• Allen, T.J. Managing the Flow of Information. Cambridge, MA: MIT Press, 1977.
   Google Scholar
• Ansari, A.; Essegaier, S.; and Kohli, R. Internet recommendation systems. Journal of Marketing Research, 37, 3 (August 2000), 363-375.
   Google Scholar
• Atwater, T.; Heeter, C.; and Brown, N. Foreshadowing the electronic publishing age: First exposure to Viewtron. Journalism Quarterly, 62, 4 (1985), 807-815.
   Google Scholar
• Barki, H., and Hartwick, J. Rethinking the concept of user involvement. MIS Quarterly, 13, 1 (1989), 53-63.
   Google Scholar
• Bauer, T., and Leake, D. Using document access sequences to recommend customized information. IEEE Intelligent Systems, 17, 6 (2002), 27-33.
   Google Scholar
• Berghel, H. Cyberspace 2000: Dealing with information overload. Communications of the ACM, 40, 2 (1997), 19-24.
   Google Scholar
• Blumler, J.G. The role of theory in uses and gratifications studies. Communication Research, 6, 1 (January 1979), 9-36.
   Google Scholar
• Bosman, J., and Renckstorf, K. Information needs: Problems, interests, and consumption. In K. Renckstorf (ed.), Media Use as Social Action: European Approach to Audience Studies. London: John Libbey, 1996, pp. 43-52.
   Google Scholar
• Case, D.O. Looking for Information: A Survey of Research on Information Seeking, Needs, and Behavior. San Diego, CA: Academic Press, 2002.
   Google Scholar
• Chung, W.; Chen, H.; and Nunamaker, J.A. Visual framework for knowledge discovery on the Web: An empirical study of business intelligence exploration. Journal of Management Information Systems, 21, 4 (Spring 2005), 57-84.
   Google Scholar
• Dervin, B. From the mind's eye of the user: The sense-making qualitative-quantitative methodology. In J.D. Glazier and R.R. Powell (eds.), Qualitative Research in Information Management. Englewood, CO: Libraries Unlimited, 1992, pp. 61-84.
   Google Scholar
• Dewan, R.; Jing, B.; and Seidmann, A. Adoption of Internet-based product customization and pricing strategies. Journal of Management Information Systems, 17, 2 (Fall 2000), 9-28.
   Google Scholar
• Doll, W.J., and Torkzadeh, G. The measurement of end-user computing satisfaction. MIS Quarterly, 12, 2 (June 1988), 259-274.
   Google Scholar
• Farhoomand, A.F., and Drury, D.H. Managing information overload. Communications of the ACM, 45, 10 (October 2002), 127-131.
   Google Scholar
• Ferguson, D., and Perse, E. The World Wide Web as a functional alternative to television. Journal of Broadcasting and Electronic Media, 44, 2 (2000), 155-174.
   Google Scholar
• Garramone, G.M.; Harris, A.C.; and Anderson, R. Uses of political computer bulletin boards. Journal of Broadcasting and Electronic Media, 30, 3 (1986), 325-339.
   Google Scholar
• Grise, M., and Gallupe, B. Information overload: Addressing the productivity paradox in face-to-face electronic meeting. Journal of Management Information Systems, 16, 3 (Winter 1999-2000), 157-185.
   Google Scholar
• Heeter, C., and Greenberg, B. Cable and program choice. In D. Zillmann and J. Bryant (eds.), Selective Exposure to Communication. Hillsdale, NJ: Lawrence Erlbaum, 1985, pp. 203-224.
   Google Scholar
• Herbig, P., and Kramer, H. The effect of information overload on the innovation choice process: Innovation overload. Journal of Consumer Market, 11, 2 (June 1994), 45-54.
   Google Scholar
• Ho, J., and Tang, K. Towards an optimal resolution to information overload: An infomediary approach. In S. Ellis, T. Rodden, and I. Zigurs (eds.), Proceedings of the 2001 International ACM SIGGROUP Conference on Supporting Group Work. Boulder, CO: ACM Press, 2001, pp. 91-96.
   Google Scholar
• Ives, B., and Olson, M. User involvement and MIS success: A review of the literature. Management Science, 30, 5 (1984), 586-603.
   Google Scholar
• Katz, E.; Blumler, J.G.; and Gurevitch, M. Utilization of mass communication by individual. In J.G. Blumler and E. Katz (eds.), The Use of Communications. Beverly Hills, CA: Sage, 1974, pp. 19-32.
   Google Scholar
• Kaye, B.K., and Johnson, T.J. Online and in the know: Uses and gratifications of the Web for political information. Journal of Broadcasting and Electronic Media, 46, 1 (2002), 54-72.
   Google Scholar
• Konstan, J.A.; Miller, B.N.; Maltz, D.; Herlocker, J.L.; Gordon, L.R.; and Riedl, J. GroupLens: Applying collaborative filtering to Usenet news. Communications of the ACM, 40, 3 (March 1997), 77-87.
   Google Scholar
• Lai, H.J.; Liang, T.P.; and Ku, Y.C. Customized Internet news services based on customer profiles. In N. Sadeh (ed.), Proceedings of the Fifth International Conference on Electronic Commerce. New York: ACM Press, 2003, pp. 225-229.
   Google Scholar
• Levy, M.R. Home video recorders: A user survey. Journal of Communication, 30, 4 (Fall 1980), 23-27.
   Google Scholar
• Lin, C.A., and Jeffres, L. Predicting adoption of multimedia cable services. Journalism Quarterly, 75 (1998), 251-275.
   Google Scholar
• McKeen, J.D.; Guimaraes, T.; and Wetherbe, J.C. The relationship between user participation and user satisfaction: An investigation of four contingency factors. MIS Quarterly, 18, 4 (1994), 427-451.
   Google Scholar
• McQuail, D., and Windahl, S. Communication Models for the Study of Mass Communication, 2d ed. New York: Longman, 1993.
   Google Scholar
• Mock, K., and Vemuri, V. Information filtering via hill climbing, Wordnet, and index patterns. Information Processing and Management, 33, 5 (1997), 633-644.
   Google Scholar
• Orad, D., and Kim, J. Implicit feedback for recommender systems. AAAI Technical Report WS-98-08: Workshop on Recommender Systems. American Association for Artificial Intelligence, Menlo Park, CA, 1998.
   Google Scholar
• Parasuraman, A.; Zeithaml, V.A.; and Berry, L.L. SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64, 1 (1988), 12-40.
   Google Scholar
• Perse, E.M., and Ferguson, D.A. The impact of the newer television technologies on television satisfaction. Journalism Quarterly, 70, 4 (1993), 843-853.
   Google Scholar
• Renckstorf, K., and McQuail, D. Social action perspectives in mass communication research: An introduction. In K. Renckstorf (ed.), Media Use as Social Action: European Approach to Audience Studies. London: John Libbey, 1996, pp. 1-17.
   Google Scholar
• Rosenberg, V. Factors affecting the preferences of industrial personnel for information gathering methods. Information Storage and Retrieval, 3, 3 (1967), 119-127.
   Google Scholar
• Rubin, A.M. Television uses and gratifications: The interaction of viewing patterns and motivations. Journal of Broadcasting, 27, 1 (1983), 37-51.
   Google Scholar
• Rubin, A.M., and Bantz, C.R. Uses and gratifications of videocassette recorders. In J.L. Salvaggio and J. Bryant (eds.), Media Use in the Information Age, Emerging Patterns of Adoption and Consumer Use. Hillsdale, NJ: Lawrence Erlbaum, 1989, pp. 181-195.
   Google Scholar
• Sakagami, H., and Kamba, T. Learning personal preferences on online newspaper articles from user behaviors. Computer Networks and ISDN Systems, 29, 8 (1997), 1447-1455.
   Google Scholar
• Salton, G. Automatic Text Processing: The Transformation, Analysis, and Retrieval of Information by Computer. Reading, MA: Addison-Wesley, 1989.
   Google Scholar
• Saracevic, T., and Kantor, P. A study in information seeking and retrieving, II: Users, questions and effectiveness. Journal of the American Society for Information Science, 39, 3 (1998), 177-196.
   Google Scholar
• Schafer, J.B.; Konstan, J.; and Riedl, J. Recommender systems in e-commerce. In M.P. Wellman (ed.), Proceedings of the First ACM Conference on Electronic Commerce. New York: ACM Press, 1999, pp. 158-166.
   Google Scholar
• Sharma, S.; Durand, R.M.; and Gurarie, O. Identification and analysis of moderator variables. Journal of Marketing Research, 18, 3 (August 1981), 231-300.
   Google Scholar
• Stephenson, W. The Play Theory of Mass Communication. Chicago: University of Chicago Press, 1967.
   Google Scholar
• Toms, E.G. What motivates the browser? In T.D. Watson and D.K. Allen (eds.), Information Behavior: Proceedings of the Second International Conference on Research in Information Needs, Seeking, and Use in Different Contexts. London: Taylor Graham, 1999, pp. 191-208.
   Google Scholar
• Tuzhilin, A. Report on the KDD2000 panel personalization and data mining: Exploring the synergies. SIGKDD Explorations, 2, 2 (December 2001), 115-116.
   Google Scholar
• Vandenbosch, B., and Huff, S.L. Searching and scanning: How executives obtain information from executive information systems. MIS Quarterly, 21, 1 (1997), 81-107.
   Google Scholar
• Wilson, P. Unused relevant information in research and development. Journal of American Society of Information Science, 46, 1 (1995), 45-51.
   Google Scholar
• Zedeck, S. Problems with the use of "moderator" variables. Psychological Bulletin, 76, 4 (October 1971), 295-310.
   Google Scholar
• Zhang, B., and Seo, Y. Personalized Web-document filtering using reinforcement learning. Applied Artificial Intelligence, 15, 7 (2001), 665-685.
   Google Scholar
• Zillman, D., and Bryant, J. Entertainment as media effect. In J. Bryant and D. Zillman (eds.), Media Effects: Advances in Theory and Research. Hillsdale, NJ: Lawrence Erlbaum, 1994, pp. 437-462.
   Google Scholar
• Zipf, G. Human Behavior and the Principle of Least Effort: An Introduction to Human Ecology. New York: Addison-Wesley, 1949.
   Google Scholar