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https://ah.lib.nccu.edu.tw/handle/140.119/106990| 題名: | 一個考慮閱聽人體驗喜好的電子新聞推薦模型 An e-news recommendation model based on consumer`s experience and preference |
作者: | 朱為丞 | 貢獻者: | 許志堅<br>廖峻鋒 朱為丞 |
關鍵詞: | 體驗行銷 決策樹 新聞推薦 |
日期: | 2016 | 上傳時間: | 1-三月-2017 | 摘要: | 本研究嘗試建立一個考慮使用者體驗喜好之電子新聞推薦模型。我們以Schmitt提出之策略體驗模組為基礎了解使用者對各體驗之重視程度，分析使用者對各種不同型式體驗之重視程度以作為ID3決策樹機器學習演算法的輸入屬性，並以消費者對於電子新聞的喜好與否作為目標屬性，利用決策樹演算法計算這些輸入屬性(使用者對各種不同型式體驗之喜好)與目標屬性(使用者對於電子新聞的選擇)之間的關聯式規則。接著利用這些規則來建構一個預測模型，以評估閱聽人對於未知電子新聞的接受程度，從而建立一個能有效符合使用者個人體驗喜好之新聞推薦模型。 | 參考文獻: | [1] M. Brandt. 2014 ,Apr 23.Mobile is the New Media Star [Online]. Available:http://www.statista.com/chart/2168/share-of-time-spent-per-day-with-major-media/\n[2] Internet Overtakes Newspaper As Newsoutlet [Online]. Available:http://www.people-press.org/2008/12/23/internet-overtakes-newspapers-as-news-outlet/\n[3] 173 Million Adults Engaged with Newspaper Digital Content in January [Online]. Available:http://mediamanagersclub.org/173-million-adults-engaged-newspaper-digital-content-january-naa\n[4] Resnick, P., N. Iakovou, M. Sushak, P. Bergstrom, and J. Riedl. GroupLens: An open architecture for collaborative filtering of netnews. In Proceedings of the 1994 Computer Supported Cooperative Work Conference, 1994. \n[5] Kompan, M., Bieliková, M., 2010. Content-Based News Recommendation. In Proc. of the 11th Conf. EC-WEB, Springer, 61-72. \n[6] F. Frasincar, J. Borsje, and L. Levering. A Semantic Web-Based Approach for Building Personalized News Services. International Journal of E-Business Research, 5(3):35–53, 2009. \n[7] IJntema W, Goossen F, Frasincar F, Hogenboom F. Ontology-based news recommendation. In: Proc 2010 EDBT/ICDT Workshops, Lausanne, Switzerland; 2010. pp 1–6.\n[8] Konstan, J. A., B. N. Miller, D. Maltz, J. L. Herlocker, L. R. Gordon, and J. Riedl. GroupLens: Applying collaborative filtering to Usenet news. Communications of the ACM, 40(3):77-87, 1997.\n[9] A. Das, M. Datar, A. Garg, and S. Rajaram. Google news personalization: scalable online collaborative filtering. In Proc. of the 16th International World Wide Web Conf., 2007.\n[10] Liu, J., Dolan, P., Pedersen, E.R.: Personalized news recommendation based on click behavior. In Rich et al., eds.: Proc. of 14th Int. Conf. on Intelligent User Interfaces (IUI), ACM (2010) 31–40 \n[11] Pine, B.J., and Gilmore, J.H. The Experience Economy. Boston: Harvard Business School Press, 2011.\n[12] Alex Simonson, Bernd H. Schmitt. Marketing Aesthetics: The Strategic Management of Brands, Identity and Image[M]. Free Press, August 30, 1997\n[13] Schmitt, B.H. (1999). Experiential Marketing: How to Get Customers to Sense, Feel, Think, Act, and Relate to Your Company and Brands. New York: Free Press. \n[14] Tan, P.-N., Steinbach, M., and Kumar, V. 2005. Introduction to Data Mining. Addison-Wesley. \n[15] Han, Jiawei, Kamber, Micheline, 2000. Data Mining: Concepts and Techniques.\nMorgan Kaufmann.\n[16] I.H. Witten and E. Frank. Data Mining: Practical Machine Learning Tools and\nTechniques with Java Implementations. Morgan Kaufmann, 2011.\n[17] Quinlan, J.R. (1986). Induction of decision trees. Machine Learning, 1, 81-106.\n[18] Clair, D. C. St., Sabharwal, C. L. and Hacke, K. R. ,“Formation of clusters and resolution of ordinal attributes in ID3 classification trees”,Proc. of ACM/SIGAPP Symposium on Applied Computing: Technological Challenges of the 1990’s, pp.590-597, 1992.\n[19] Patterson,T.E.2000. Doing Well and Doing Good:How Soft News and Critical Journalism Are Shrinking the News Audience and Weakening Democracy—And What News Outlets Can Do about It. Cambridge, MA: The Joan Shorenstein Center for Press, Politics, and Public Policy at Harvard University\n[20] Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39,31-36.\n[21] F. Ricci, L. Rokach, B. Shapira, P. B. Kantor , Recommender Systems\nHandbook, Springer, 2011\n[22] Gunawardana, A., Shani, G.: A survey of accuracy evaluation metrics of recommendation tasks. J. Mach. Learn. Res. 10, 2935–2962 (2009) | 描述: | 碩士 國立政治大學 數位內容碩士學位學程 101462013 |
資料來源: | http://thesis.lib.nccu.edu.tw/record/#G0101462013 | 資料類型: | thesis |
| Appears in Collections: | 學位論文 學位論文 |
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| 201301.pdf | 3.7 MB | Adobe PDF2 | View/Open |
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