[1] Adams, S. (2000) “Using the International Patent Classification in An Online Environment,” World Patent Information, Volume 22, Issue 4, pp. 291-300.
[2] Ansari, A., Essegaier, S., and Kohli, R. (2000) “Internet Recommendation Systems,” Journal of Marketing Research, Volume 37, Issue 3, pp. 363-375.
[3] Baier, D., and Stüber Eva. (2010) “Acceptance of Recommendations to Buy in Online Retailing,” Journal of Retailing and Consumer Services, Volume 17, Issue 3, pp. 173-180.
[4] Barragáns Martínez, A.B., Costa-Montenegro, E., Burguillo, J.C., Rey-López, M., Mikic-Fonte, F.A., and Peleteiro, A. (2010) “A Hybrid Content-Based and Item-Based Collaborative Filtering Approach to Recommend TV Programs Enhanced with Singular Value Decomposition,” Information Sciences, Volume 180, Issue 22, pp. 4290-4311.
[5] Burke, R. (2002) “Hybrid Recommender Systems: Survey and Experiments,” User Modeling and User-Adapted Interaction, Volume 12, Issue 4, pp. 331-370.
[6] Basumallick, S., and Wong, J.S.K. (1996) “Design and implementation of a distributed database system,” Journal of System Software, Volume 34, Issue 4, pp. 21-29.
[7] Campos, L.M. de, Fernandez-Luna, J.M., Huete, J.F., and Rueda-Morales, M.A. (2010) “Combining Content-based and Collaborative Recommendations: A Hybrid Approach Based on Bayesian Networks,” International Journal of Approximate Reasoning, Volume 51, pp. 785-799.
[8] Davies, D.L., and Bouldin, D.W. (1979) “A Cluster Separation Measure,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 1, Issue 2, pp. 224-227.
[9] Edwards, W., and Barron, F.H. (1994) “SMARTS and SMARTER: Improved Simple Method for Multiattribute Utility Mearsurement,” Organizational Behavior and Human Decision Processes 60, pp. 306-325.
[10] Ernst, H. (1998) “Patent Portfolios for Strategic R&D Planning,” Engineering and Technology Management Journal, Volume 15, Issue 4, pp. 279-308.
[11] Fall, C.J., Benzineb, K., Guyot, J., Törcsvári, A., and Fiévet P. (2003) “Computer-Assisted Categorization of Patent Documents in the International Patent Classification,” Proceedings of the International Chemical Information Conference, Nîmes, October 2003.
[12] Herlocker, J.L., Konstan, J.A., Terveen, L.G., and Ridel, J.T. (2004) “Evaluating Collaborative Filtering Recommender Systems,” Transactions on Information Systems, Volume 22, Issue 1, pp 5-53.
[13] Huang, L.C., and Li, Y. (2010) “Evaluation Frame of Technological Developing Trend Based on Patent Information,” Proceedings of 12th Computer Modelling and Simulation (UKSim) International Conference, pp. 209-304.
[14] Huang, L.C., and Li, Y. (2010) “Research on Technology Trend Based on Patent Information,” Proceedings of IEEE Management of Innovation and Technology (ICMIT) International Conference, pp. 209-213.
[15] Iwahama, K., Hijikata, Y., and Nishida, S. (2004) “Content-Based Filtering System for Music Data,” Proceedings of the 2004 International Symposium on Application and the Internet Workshops (SAINTW’04), Tokyo, Japan, pp. 480-487.
[16] Jeong, B.W., Lee, J.W., and Cho, H. (2010) “Improving Memory-Based Collaborative Filtering via Similarity Updating and Prediction Modulation,” Information Sciences, Volume 180, pp. 602-612.
[17] Kelly, D., and Teevan, J. (2003) “Implicit Feedback for Inferring User Preference: A Bibliography,” SIGIR Forum, Volume 37, Issue 2, pp. 18-28.
[18] Krizer, M., and Zacca, F. (2002) “Automatic Categorisation Applications at European Patent Office,” World Patent Information, Volume 24, Issue 1, pp. 187-196.
[19] Lai, C.H. and Liu, D.R. (2009) “Integrated Knowledge Flow Mining and Collaborative Filtering to Support Document Recommendation,” Journal of Systems and Software, Volume 82, Issue 12, December 2009, pp. 2023-2037.
[20] Liu, Z. and Zhu, D. (2009) “Web Mining based Patent Analysis and Citation Visualization,” Proceedings of 2009 Second Pacific-Asia WMWA Conference, pp. 19-23.
[21] Lee, T.Q., Park, Y., and Park, Y.T. (2008) “A Time-Based Approach to Effective Recommender System Using Implicit Feedback,” Expert Systems with Applications, Volume 34, Issue 4, May 2008, pp. 3055-3062.
[22] Meteren, R.V., and Someren, M.V. (2000) “Using Content-Based Filtering for Recommendation, ” Proceedings of MLnet/ECML2000 Workshop, Barcelona, Spain, 30 May 2000, pp. 312-321
[23] Morita, M., and Shinoda, Y. (1994) “Information Filtering Based on User Behavior Analysis and Best Match Text Retrieval,” Proceedings of the 17th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '94), Ireland, pp. 272-281.
[24] Nichols, D. M. (1997) “Implicit Rating and Filtering,” Proceedings of the 5th DELOS Workshop on Filtering and Collaborative Filtering, pp. 31-36.
[25] Nazim-uddin, M., Shrestha, J., and Jo, G.S. (2009) “Enhanced Contented-Based Filtering Using Diverse Collaborative Prediction for Movie Recommendation,” Proceeding of 2009 First Asian Conference on Intelligent Information and Database Systems, Vietnam, pp. 132-137.
[26] Oard, D.W., and Kim, J. (1998) “Implicit Feedback for Recommender Systems,” Proceedings of the AAAI Workshop on Recommender Systems, pp. 81-83.
[27] Richter, G., and MacFarlane, A. (2005) “The Impact of Metadata on the Accuracy of Automated Patent Classification.” World Patent Information, Volume 27, Issue 3, pp. 13-26.
[28] Resnick, P., and Varian, H. R. (1997) “Recommender Systems,” Communications of ACM, Volume 40, Issue 3, pp. 56-58.
[29] Reynolds, A.P., Richards, G., and Rayward-Smith, V.J. (2004) “The Application of K-medoids and PAM to the Clustering of Rules,” Proceedings of The 5th International Conference on Intelligent Data Engineering and Automated Learning, Exeter, United Kingdom, pp 173-178.
[30] Sarwar, B., Karypis, G., Konstan, J. and Riedl, J. (2000) “Analysis of Recommendation Algorithms for Ecommerce,” Proceedings of the 2nd ACM conference on Electronic commerce, Minneapolis, Minnesota, United States, pp. 158-167.
[31] Sarwar, B., Karypis, G., Konstan, J. and Riedl, J. (2001) “Item-Based Collaborative Filtering Recommendation Algorithms,” Proceedings of the 10th international conference on World Wide Web, Hong Kong, pp. 285-295.
[32] Schein, A. I., Popescul, A., Ungar, L. H., and Pennock, D. M. (2001) “Methods and Metrics for Cold-Start Recommendations,” Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (Aug), Tampere, Finland, pp. 253-260.
[33] Sharma, S. C., (1996) Applied Multivariate Techniques, John Wiley & Sons, Inc.
[34] Shiue, Y.C. and Chang, C.C. (2010) “Forecasting Unmanned Vehicle Technologies: Use of Patent Map,” Proceedings of 2010 Second International Computer Research and Development, Conference, pp. 752-755.
[35] Teevan, J., Dumais, S.T., and Horvitz, E. (2005) “Personalizing Search via Automated Analysis of Interests and Activities,” Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '05), Brazil, pp. 449-456.
[36] Trappey, C.V., Trappey, A.J.C., and Wu, C.Y. (2010) “Clustering Patents Using Non-exhaustive Overlaps,” Journal of Systems Science and Systems Engineering, Volume 19, Issue 2, pp. 162-181
[37] Trappey, C.V., Wu, H.Y., Taghaboni-Dutta F. and Trappey J.C. (2010) “Using Patent Data for Technology Forecasting: China RFID Patent Analysis,” Advanced Engineering Informatics, Volume 25, Issue 1, pp. 53-64.
[38] Weng, S.S., Lin, B., and Chen, W.T. (2009) “Using Contextual Information and Multidimensional Approach for Recommendation,” Expert Systems with Applications, Volume 36, Issue 2, Part 1, pp. 1268-1279.
[39] Xu, Y., (2010) “Apply Text Mining in Analysis of Patent Document,” Proceedings of 2010 Second Education Technology and Computer Science (ETCS) International Workshop, pp. 618-622.
[40] Yu, L., Liu, L., and Li, X. (2005) “A Hybrid Collaborative Filtering Method for Multiple-Interests and Multiple-Content Recommendation in E-Commerce,” Expert Systems with Applications, Volume 180, Issue 22, pp. 4290-4311.
[41] Zhang, Z. and Nasraoui, O. (2008) “Mining Search Engine Query Logs for Social Filtering-Based Query Recommendation,” Applied Soft Computing, Volume 8, Issue 4, pp. 1326-1334.
[42] 林家聖,「專利檢索系統與分析方法之檢討與革新」 (指導教授:周延鵬),碩士論文,國立政治大學,智慧財產研究所,2007年。[43] 林啟瑋,「以主成份分析及類神經網路為基之專利重要性評估方法論」 (指導教授:張瑞芬),碩士論文,國立台北科技大學,工業工程與管理學系,2010年。[44] 季法文,「CIGS太陽電池技術現況與發展趨勢」,中山科學研究院材料暨光電研究所,2009年。
[45] 陳達仁、黃慕萱,「專利資訊與專利檢索」,文華圖書資訊公司,2002年。
[46] 張保隆、周瑛琪、翁振益,決策分析:方法與應用,華泰文化,2007年,台北市,台灣。
[47] 黃盈碩,「非耗盡分群方法為基之可重疊專利分群方法論研究」 (指導教授:張瑞芬),碩士論文,國立清華大學,工業工程與工程管理學系,2007年。[48] 簡禎富,決策分析與管理,雙葉書廊出版社,2005年,台北市,台灣。
[49] 鄭淑娟,薄膜太陽能電池技術、製程與產品特性分析,資策會-產業情報研究所,2009年,台北市,台灣。
[50] 科技產業資訊室,「全球專利資料檢索」,2008,Available at : http://cdnet.stpi.org.tw/patentsearch.htm。
[51] 科技產業資訊室,「我國人向五大專利局專利申請統計」,2010,Available at : http://cdnet.stpi.org.tw/techroom/policy/2010/policy_10_016.htm。
[52] 國際專利分類表,「使用指南」, 第八版,2008, Available at : http://iknow.stpi.narl.org.tw/Post/Read.aspx?PostID=4817。