由於Web 2.0的興起，締造出Library 2.0圖書館服務的風潮,因此圖書館的服務已不應只是僅僅提供圖書借閱的服務而已，更重要的是，如何為這群借閱者形成讀者社群，並進一步的透過此社群進行知識的分享，有基於此，本研究透過讀者在圖書館的借閱記錄中去探勘出相同領域的讀者，並推薦給讀者去形成讀者社群，因此本研究的目的在探討讀者在使用讀者推薦系統服務後對此系統的整體滿意程度是否為正向影響，其研究變項分為五個部份，分別為知識分享態度、系統品質、資訊品質、服務品質以及推薦系統滿意度。本研究的實驗對象為某大學願意提供及公開個人借閱記錄並參與實驗的教職員及學生。

A trend of Library 2.0 service was created because of the thriving of Web 2.0. Therefore, library service should not be limited to lending service only; more importantly, it should help readers to form reader communities and further conduct knowledge sharing through the communities. Based on this theory, this study investigated readers of the same fields by examining their circulation records. The results will be recommended to the readers for creating reader communities.The purpose of this study is to examine whether readers’ overall satisfaction towards this recommendation service is positive after using it. Its research variables were divided into five parts; that is, knowledge sharing attitude, system quality, information quality, service quality and satisfaction survey for evaluating the recommendation system. The participants in this study are the school faculty and students from a domestic university; they are willing to provide and make their personal circulation records public. The data and their personal circulation records in the Library system were officially granted by the university with permission.

Allee, V. (2000). Knowledge Networks and Communities of Practice. OD practitioner, 32(4).
Alavi, M., & Leidner, D. E. (2001). Review:Knowledge Management And Knowledge Management System: Conceptual Foundations And Research Issues. MIS Quarterly, 25(1), 107-136.
Belkin, N.J. & Croft, B.W. (1992). Information Filtering and Information Retrieval: Two Sides of the Same Coin? Communications of the ACM, 35(12), 29-38.
Balabanovic, M., & Shoham, Y. (1997). Fab:content-based, collaborative recommendation. COMMUNICATIONS OF THE ACM, 40(3), 66-72
Breese, J. S., Heckerman, D., & Kadie, C. (1998). Empirical Analysis of Predictive Algorithms for Collaborative Filtering. In Proceedings of the 14th conference on Uncertainty in Artificial Intelligence. (pp. 43-52), July 24-26, San Francisco, USA.
Bhattacherjee, A. (2001). Understanding Information Systems Continuance: An Expectation-Confirmation Model. MIS Quarterly, 25(3), 351-371.
Bock, G. W., Zmud, R. W., & Kim, Y. G. (2005). Behavioral Intention Formation in Knowledge Sharing: Examining the Roles of Extrinsic Motivators, Social-Psychological Forces, and Organizational Climate. MIS Quarterly, 29(1), 87-111.
Bennet, J., & Lanning, S. (2007). The Netflix Prize. Proceedings of KDD Cup and Workshop. Available at:http://www.cs.uic.edu/~liub/KDD-cup-2007/NetflixPrize-description.pdf.
Bliemel, M., & Hassanein, K. (2007). Consumer satisfaction with online health information retrieval: A model and empirical study. e-Service Journal, 5(2), 53-83.
Churchill, G. A., & Surprenant, C. (1982). An Investigation into the Determinants of Consumer Satisfaction. Journal of Marketing Research, 19(4), 491-504.
Chad, K., & Miller, P. (2005). Do libraries matters? The rise of Library 2.0. Available at:http://www.talis.com/applications/downloads/white_papers/DoLibrariesMatter.pdf.
Casey, M. (2005). Service for the Next Generation Library: A Library 2.0 Perspective by Michael Casey. LibraryCrunch. Available at: http://www.librarycrunch.com/2005/09/
Casey, M.E., & Savastinuk, L.C. (2006). Library 2.0: Service for the next-generation library. Library Journal, 131(14), 40-42
Delone, W. H., & Mclean, E. R. (1992). Information system success:The quest for the dependent variable. Information Systems Research, 3(1), 60-95.
DeLone, W. H., & McLean, E.R. (2003). The DeLone and McLean model of information systems success:A ten-year update. Journal of Management Information System, 19(4), 9-30.
Deshpande, M., & Karypis, G. (2004). Item-based top-N recommendation algorithms. ACM Transactions on Information Systems, 22(1), 143-177.
Drakos, N. (2007). Seven Ways to Succeed With Wikis and Social Software. Gartner Research. Available at:http://www.cisc.iii.org.tw/upload/enews/2007/1022/files/20071022.pdf.
Goldberg, D., Nichols, D., Oki, B. M., & Terry, D. (1992). Using Collaborative Filtering to Weave an Information Tapestry. Communications of the ACM, 35(12), 61-70.
Hendriks, P. (1999). Why Share Knowledge? The Influence of ICT on Motivation for Knowledge Sharing. Knowledge and Process Management, 6(2), 91-100.
Hong, C. Y. (2001). The Research on Finding Generalized Association Rules from Library Circulation Records, master thesis, National Sun Yat-sen University.
Huang, C. Y. (2001). The Study of Applying Data Mining Technique to On-line Recommender System. Master thesis, Chaoyang University of Technology.
Hwang, S. Y., Lim, E. P. (2002). A Data Mining Approach to Library New Book Recommendations. Proc. of the Int''l. Conference on Asia Digital Libraries (ICADL2002), (pp. 229-240), Singapore. LNCS 2555, Springer Verlag.
Kang H., & Bradley, G. (2002). Measuring the performance of IT services:An assessment of SERVQUAL. International Journal of Accounting Information Systems, 3, 151–164
Hinchcliffe, D. (2006). The shift to Social Computing. ZDNet. Available at:http://blogs.zdnet.com/Hinchcliffe/index.php?p=21.
Ho, S. H., & Huang C. H. (2009). Exploring success factors of video game communities in hierarchical linear modeling: The perspectives of members and leaders. Computers in Human Behavior, 25(3), 761-769.
Ives, B., Olson M. H., & Baroudi, J. J. (1983). The Measurement of User Information Satisfaction. Communications of the ACM, 26(10), 785-793.
Kulkarni, R. G., Stough, R. R., & Haynes, K. E. (2000). Towards Modeling of Communities of Practice(CoPs):A Hebbian Learning Approach to Organizational Learning. Technological Forecasting and Social Change, 64(1), 71-83
Kotler, P. (2003). Markering Management (11th ed.). Prentice-Hall Inc.
Kuo, F. Y. & Young, M. L.(2008). Predicting knowledge sharing practices through intention: A test of competing models. Computers in Human Behavior, 24(6), 2967-2722.
Lin, M. J., Hung, S. W., Chen, & C. J. (2009). Fostering the determinants of knowledge sharing in professional virtual communities. Computers in Human Behavior, In Press, Corrected Proof
Mulvenna, M. D., Anand, S. S., & Büchner, A. G. (2000). Personalization on the Net using Web mining: introduction. Communications of the ACM, 43(8), 122-125.
Musser, D., Wedman, J., & Laffey, J. (2003). Social Computing and Collaborative Learning Environments. In Proceedings of the 3rd IEEE International Conference on Advanced Learning Technologies. (pp. 520–521), July 9-11, Athens, Greece.
Maness, J. (2006). Library 2.0 Theory: Web 2.0 and Its Implications for Libraries. Webology, 3(2), Article 25. Available at: http://www.webology.ir/2006/v3n2/a25.html
Nickols, F. (2003). Communities of Practice:An Overview. The Distance Consulting Company.
Oliver, R. L. (1981). Measurement and Evaluation of Satisfaction Processes in Retail Settings. Journal of Retailing, 57(3), 25-48.
Ong, C. S., & Lai, J. Y. (2004). Developing an Instrument for Measuring User Satisfaction with Knowledge Management Systems.In Proceedings of the 37th Hawaii International Conference on System Sciences. IEEE, Hawaii.
Octavian, U., Lise, G., & Renée, J. M. (2007). Leveraging Data and Structure in Ontology Integration. In Proceedings of the 2007 ACM SIGMOD international conference on Management of data. (pp. 449-460), June 11-14, Beijing, China.
Pearson, S. W., & Bailey, J. E. (1977). Measurement of Computer User Satisfaction. Ph.D. dissertation, Arizona State University, Tempe.
Pitt, L. F., Watson, R. T., & Kavan, C. B. (1995). Service Quality: A Measure of Information Systems Effectiveness. MIS Quarterly, 19(2), 173-187.
Parker, C., & Mathews, B. P. (2001).Customer satisfaction: contrasting academic and consumers’ interpretations. Marketing intelligence and Planning, 19(1), 38-44.
Preece, J., Nonnecke, B., & Andrews, D. (2004). The top five reasons for lurking: improving community experiences for everyone. Computers in Human Behavior, 20(2), 201-223.
Quinn, J. B., Anderson, P., & Finkelstein, S. (1996). Managing professional intellect:making the most of best. Harvard Business Review, 74, 71-80
Resnick, P., Iacovou, N., Suchak, M., Bergstrom, P., & Riedl, J. (1994). GroupLens: An Open Architecture for Collaborative Filtering of Netnews. In Proceedings of ACM 1994 Conference on Computer Supported Cooperative Work (pp. 175-186), October 22-26, Chapel Hill, NC, USA.
Redman, T. C. (1995). Improve Data Quality for Competitive Advantage, Sloan Management Review, 36(2), 99-107
Raban, D. R., Rafaeli, S. (2007). Investigating ownership and the willingness to share information online. Computers in Human Behavior, 23(5), 2367-2382.
Salton, G., & Buckley, C. (1988). Term-weighting approaches in automatic text retrieval. Information Processing and Management, 24(5), 513-523.
Salton, G. (1989). Automatic text processing: the transformation, analysis, and retrieval of information by computer, Addison-Wesley Longman Publishing Co., Inc., Boston, MA.
Senge, P. (1997). Sharing Knowledge, Executive Excellence, 14(11), 17-18.
Wenger, E.C. (1998). Communities of practice: Learning, meaning, and identity. Cambridge, UK: Cambridge University Press.
Wixom, B. H., & Todd, P. A. (2005). A theoretical integration of user satisfaction and technology acceptance. Information System Research, 16(1), 85-102
Wang, Y. S., Wang, H. Y., Shee, D. Y. (2007). Measuring e-learning systems success in an organizational context: Scale development and validation. Computers in Human Behavior, 23(4), 1792-1808.
Zack, M. H. (1999). Managing Codified Knowledge. Sloan Management Review, 40(4), 45-58. Available at: http://web.cba.neu.edu/~mzack/articles/kmarch/kmarch.htm