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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 陳文華 | |
dc.contributor.author | Chen-Yu Chang | en |
dc.contributor.author | 張辰宇 | zh_TW |
dc.date.accessioned | 2021-06-16T08:26:08Z | - |
dc.date.available | 2019-03-18 | |
dc.date.copyright | 2014-03-18 | |
dc.date.issued | 2014 | |
dc.date.submitted | 2014-01-21 | |
dc.identifier.citation | 中文文獻:
1. 方文昌、汪志堅(2010)。電子商務。臺北市 : 智勝文化事業公司。 2. 洪世章、林公泰,個案分析,清大科管院討論稿,2002年。 3. 經濟部商業司2012電子商務年鑑。 4. Etu Recommender solution overview 英文文獻: 5. Adomavicius, G., & Tuzhilin, A.(2005). Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering, 17(6). 6. Amit Sharma (2013). Third-party Recommendation Systems Industry: Current Trends and Future Directions 7. Babbie,E.(1989),The Practice of Social Research, 5th eds. 8. Balabanovic, M. and Shoham, Y., 'Fab: Content-Based, Collaborative Recommendation,' Communications of the ACM. 9. Eisenhardt, K. M.(1989), Building theories from case study research. Academy of Management Review,14(4),pp.532-550. 10. Joanne M. Correia, Gene Alvarez. (2013) Market Insight: Three Compelling Reasons to Update Your E-Commerce Product Strategy 11. Kalakota and Whinston, 1996, Frontiers of Electronic Commerce. 12. Kalakota, R. and Whinston, A. B.(1997),Electronic commerce: a manager’s guide, New York, U.S.A., Addison-Wesley Publishing Company. 13. Lin, W. (2000). Association rule mining for collaborative recommenders systems. Unpublished master's thesis, Worcester Polytechnic Institute, Worcester. 14. Michael Bloch, Yves Pigneur and Arie Segev (1996), On the Road of Electronic Commerce-a Business Value Framework, Gaining Competitive Advantage and Some Research Issues. 15. Sarwar, B. M., Karypis, G., Konstan, J. A., and Riedl, J. 'Application of Dimensionality Reduction in Recommender System -- A Case Study,' ACM WebKDD 2000 Web Mining for E-Commerce Workshop, 2000. 16. Schafer, J. B., Konstan, J. A., & Riedl, J. (2001). E-Commerce recommendation applications. Data Mining and Knowledge Discovery, 5(1-2). 17. Van Setten, M., Pokraev, S., & Koolwaaij, J. (2004), 'Context-aware recommendations in the mobile tourist application COMPASS', Proceedings of the 3rd international conference on adaptive hypermedia and adaptive web-based systems. 18. http://horicky.blogspot.tw/2011/09/recommendation-engine.html 19. http://tinyurl.com/orefah5/ | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/58695 | - |
dc.description.abstract | 由於近年來電子商務發展迅速且競爭激烈,如何能夠吸引消費者留下來持續的消費,成為很重要的課題。而推薦系統的導入,可以幫助它們對客戶進行網路行銷並增加交叉銷售的機會。
本研究希望了解目前國內較具規模的B2C電子商務在推薦系統應用情形,從基礎設施的建構、推薦系統的流程以及國內電子商務網站推薦方法一併探討,並透過個案研究的方式,實際觀察電子商務網站在推薦效果的檢驗與改善之現行做法為何。 研究結果顯示,國內的電子商務企業在推薦系統的應用上都各自處於不同的發展階段,而且對於推薦系統的重視程度也都不盡相同。而在檢驗推薦效果上,實驗的方法較容易受到外部因素的干擾,未來需要更好的方法來幫助企業增進推薦系統的效果。 | zh_TW |
dc.description.abstract | With the rapid development of e-commerce in recent years and the increasingly fierce competition, finding good ways to attract consumers and maintain sustainable customer consumption has become a very important issue for all enterprises. Therefore, a good recommendation system would be able to aid enterprises in understanding their customers better, and help increase Internet marketing and cross-selling opportunities.
This study aims to look into how B2C, a strong domestic e-commerce company, employs a recommendation system in its marketing strategies. I aim to study the construction of the system's infrastructure, the process of the recommendations, as well as the recommendation methods of other domestic e-commerce sites. I will also discuss the actual effects of recommendation systems in e-commerce sites, and try to come up with a good solution to any problems observed. My results show that domestic e-commerce enterprises each use recommendation systems in different ways, and are in different stages of development. The degree of attention each company pays to recommendation systems is also different. As for actual observed effects of recommendation systems, I note that my method of study is slightly more susceptible to interference from external factors, and thus need to come up with better ways to help enterprises enhance the effect of their recommendation systems. | en |
dc.description.provenance | Made available in DSpace on 2021-06-16T08:26:08Z (GMT). No. of bitstreams: 1 ntu-103-R00741042-1.pdf: 3094504 bytes, checksum: c6e599c273d62db8abf1bc46c7555d5d (MD5) Previous issue date: 2014 | en |
dc.description.tableofcontents | 誌謝 I
論文摘要 …………………………………………………………………… II Thesis Abstract ……………………………………………………………… Ⅲ 目錄 …………………………………………………………………… IV 表目錄 …………………………………………………………………… Ⅴ 圖目錄 …………………………………………………………………… Ⅵ 第一章 緒論 1 第一節 研究背景與動機……………………………………………….. 1 第二節 研究目的………………………………………………………... 2 第三節 研究流程……………………………………………………....... 4 第二章 文獻探討 5 第一節 電子商務………………………………………………………... 5 第二節 推薦系統………………………………………………………... 8 第三節 協同過濾法……………………………………………………... 11 第三章 國內外電子商務網站推薦應用 14 第一節 推薦系統的推薦流程…………………………………………... 14 第二節 推薦系統的基礎設施…………………………………………... 15 第三節 推薦系統應用電子商務現況…………………………………... 16 第四節 電子商務的推薦方式介紹……………………………………... 18 第四章 個案分析 36 第一節 Udn買東西介紹………………………………………………... 36 第二節 Udn買東西推薦版位介紹……………………………………... 37 第三節 電子商務評估與改善推薦系統之作法………………………... 41 第五章 結論與建議 44 第一節 研究結論………………………………………………………... 44 第二節 未來研究建議…………………………………………………... 45 | |
dc.language.iso | zh-TW | |
dc.title | 國內電子商務企業在推薦系統上之應用 | zh_TW |
dc.title | The Applications and Changes of Recommender Systems in Electronic Commerce | en |
dc.type | Thesis | |
dc.date.schoolyear | 102-1 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 施人英,陳彥豪 | |
dc.subject.keyword | 推薦系統,電子商務,網路行銷, | zh_TW |
dc.subject.keyword | Recommender System,Electronic Commerce,On-line marketing, | en |
dc.relation.page | 48 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2014-01-21 | |
dc.contributor.author-college | 管理學院 | zh_TW |
dc.contributor.author-dept | 商學研究所 | zh_TW |
顯示於系所單位: | 商學研究所 |
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