目前的行程安排工具，多是藉由地點熱門程度或是已經被設計好的行程來做景點與POIs的推薦，但以這樣的方式所推薦出的景點或POIs，往往不見得能貼近使用者的偏好和需求。另外，在目前許多的行程規劃與景點推薦的相關研究中，利用使用者偏好（User Preference）來推薦適合景點已有許多的探討，但是以使用者個性（Personality）的相似程度來當作POI推薦的考量因素，卻極少被提及。在本論文的研究中，我們提出了一個由心理學上的「人格特質」反映至旅遊層面上旅客的「個性」方法，並使用此方法所得出的旅客個性參數搭配使用者偏好，再利用推薦方法中的協同過濾方式，來進行旅遊景點與POI的推薦。同時我們也實作了一個線上行程安排系統，藉由收集網路上的使用者每一次進行操作後的推薦結果，進行實驗與分析。實驗結果顯示，本論文所提出的基於使用者個性與偏好之推薦方法，有不錯的推薦成效。

In many of the travel planning tools, sites or POIs are usually recommended by their rankings or if they are in the well-designed routes. However, the recommendation may not usually fit what people's actual needs. On the other hand, in most researches on travel recommendation algorithm user preference are usually taken as an important factor, user personalities are usually not accounted for. In this work, we proposed a new point of view which brings in the concept of “Personality” from Psychology for travel recommendation and uses it as a main parameter in site recommendation together with user preferences in the method of collaborative filtering. In addition, we have built an online travel arrangement system which realizes the new recommendation function with personality. We have also conducted experiments to invite subjects to use the system and record how they use it. The experimental results reveal that our system can provide better travel recommendation services then the original one without taking personality into account.

摘要 I
ABSTRACT II
誌謝辭 III
目錄 IV
圖目錄 VII
表目錄 IX
第1章 導論 1
1.1 研究動機 2
1.2 問題描述 3
1.3 研究目的 4
1.4 論文貢獻 4
1.5 論文架構描述 5
第2章 相關研究 6
2.1 推薦系統 6
2.2 旅行相關推薦系統 7
2.3 旅遊相關網站的資料呈現 8
2.4 介面設計 9
第3章 基於使用者個性與偏好之推薦系統設計 11
3.1 人格特質 11
3.1.1 「人格」與「個性」 13
3.2 相似度度量 15
3.2.1 餘弦相似性 15
3.2.2 基於使用者偏好的協同過濾 17
3.3 推薦方法 17
3.3.1 推薦流程 18
第4章 系統設計 22
4.1 系統介面設計 22
4.1.1 介面元件 23
4.1.2 使用者「個性」量表 32
4.2 系統操作流程 34
4.3 系統實作 36
第5章 實驗設計與結果分析 38
5.1 實驗設計與對象 38
5.1.1 使用者個性推薦效率實驗設計 38
5.1.2 問卷設計 39
5.2 實驗結果分析 40
5.2.1 使用者個性與偏好推薦成效 40
5.2.2 系統推薦效度問卷分析 43
5.2.3 系統易用性量表分析 44
第6章 結論與未來發展 48
6.1 研究結論 48
6.2 未來發展 48
參考文獻 50
附錄1 SUS原始題目 54
附錄2 SUS本研究修訂之中文題目 55
附錄3 SUS第一階段問卷評估 56
附錄4 SUS第二階段問卷評估 58
附錄5 個性量表 60

[1] 中華民國交通部觀光局. (2018). 觀光統計. Available: http://admin.taiwan.net.tw/public/public.aspx?no=315
[2] Visa. (2018). Visa Global Travel Intentions Study 2018. Available: http://images.globalclient.visa.com/Web/InovantElqVisaCheckout/%7B0892c36f-dda5-4d17-a7a6-2471651dc543%7D_gti-study-infographic.pdf
[3] 維基百科. 興趣點. Available: https://zh.wikipedia.org/wiki/%E8%88%88%E8%B6%A3%E9%BB%9E
[4] C. M. Lee and J. Joshua Thomas, "Travel Route Recommendation Based on Geotagged Photo Metadata," in Advances in Visual Informatics, Cham, 2017, pp. 297-308: Springer International Publishing.
[5] C. Zhang, H. Liang, K. Wang, and J. Sun, "Personalized Trip Recommendation with POI Availability and Uncertain Traveling Time," presented at the Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, Melbourne, Australia, 2015.
[6] S. Jiang, X. Qian, J. Shen, Y. Fu, and T. Mei, "Author Topic Model-Based Collaborative Filtering for Personalized POI Recommendations," IEEE Transactions on Multimedia, vol. 17, no. 6, pp. 907-918, 2015.
[7] 傅承堯, 考慮抵達時間合理性及客製化需求之旅遊行程規劃系統 A trip planning system considering arrival time feasibility and specific customer's need. 臺灣大學資訊網路與多媒體研究所學位論文2014, p. 49.
[8] T. Kurashima, T. Iwata, G. Irie, and K. Fujimura, "Travel route recommendation using geotags in photo sharing sites," presented at the Proceedings of the 19th ACM international conference on Information and knowledge management, Toronto, ON, Canada, 2010.
[9] A. Hinze and S. Junmanee, "Advanced Recommendation Models for Mobile Tourist Information," in On the Move to Meaningful Internet Systems 2006: CoopIS, DOA, GADA, and ODBASE, Berlin, Heidelberg, 2006, pp. 643-660: Springer Berlin Heidelberg.
[10] J. Bobadilla, F. Ortega, A. Hernando, and A. Gutiérrez, "Recommender systems survey," Knowledge-Based Systems, vol. 46, pp. 109-132, 2013/07/01/ 2013.
[11] M. J. Pazzani, "A Framework for Collaborative, Content-Based and Demographic Filtering," Artificial Intelligence Review, journal article vol. 13, no. 5, pp. 393-408, December 01 1999.
[12] J. B. Schafer, D. Frankowski, J. Herlocker, and S. Sen, "Collaborative Filtering Recommender Systems," in The Adaptive Web: Methods and Strategies of Web Personalization, P. Brusilovsky, A. Kobsa, and W. Nejdl, Eds. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007, pp. 291-324.
[13] M. J. Pazzani and D. Billsus, "Content-Based Recommendation Systems," in The Adaptive Web: Methods and Strategies of Web Personalization, P. Brusilovsky, A. Kobsa, and W. Nejdl, Eds. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007, pp. 325-341.
[14] J. Lu, D. Wu, M. Mao, W. Wang, and G. Zhang, "Recommender system application developments: A survey," Decision Support Systems, vol. 74, pp. 12-32, 2015/06/01/ 2015.
[15] F. O. Isinkaye, Y. O. Folajimi, and B. A. Ojokoh, "Recommendation systems: Principles, methods and evaluation," Egyptian Informatics Journal, vol. 16, no. 3, pp. 261-273, 2015/11/01/ 2015.
[16] L. Sebastia, I. Garcia, E. Onaindia, and C. Guzman, "e-Tourism: A Tourist Recommendation And Planning Application," International Journal on Artificial Intelligence Tools, vol. 18, no. 05, pp. 717-738, 2009.
[17] C.-S. Lee, Y.-C. Chang, and M.-H. Wang, "Ontological recommendation multi-agent for Tainan City travel," Expert Systems with Applications, vol. 36, no. 3, Part 2, pp. 6740-6753, 2009/04/01/ 2009.
[18] 劉美文, "旅遊專業網站資訊需求規劃之研究," 碩士論文, 管理學研究所, 輔仁大學, 新北市, 2001.
[19] 蘇慧捷, "從自助旅遊者資訊行為探討旅遊網站內容之規劃," 碩士論文, 圖書資訊學研究所, 國立臺灣大學, 台北市, 2002.
[20] Y. Ai-Shih and J.-Y. Hu, "大學生國內旅遊資訊搜尋之探討," presented at the 2014觀光、休閒暨餐旅管理學術研討會, 2014. Available: http://ir.lib.ctu.edu.tw/handle/310909700/7003
http://ir.lib.ctu.edu.tw/bitstream/310909700/7003/3/%E5%A4%A7%E5%AD%B8%E7%94%9F%E5%9C%8B%E5%85%A7%E6%97%85%E9%81%8A%E8%B3%87%E8%A8%8A%E6%90%9C%E5%B0%8B%E4%B9%8B%E6%8E%A2%E8%A8%8E.pdf
[21] C. Abras, D. Maloney-Krichmar, and J. Preece, "User-centered design," Bainbridge, W. Encyclopedia of Human-Computer Interaction. Thousand Oaks: Sage Publications, vol. 37, no. 4, pp. 445-456, 2004.
[22] O. M. F. De Troyer and C. J. Leune, "WSDM: a user centered design method for Web sites," Computer Networks and ISDN Systems, vol. 30, no. 1, pp. 85-94, 1998/04/01/ 1998.
[23] Wikipedia. Big Five personality traits. Available: https://en.wikipedia.org/wiki/Big_Five_personality_traits
[24] 王秀美, 李長燦, "五大人格特質量表中文版之信效度研究," 社會服務與休閒產業研討會, 2011.
[25] 維基百科. 控制點. Available: https://zh.wikipedia.org/wiki/%E6%8E%A7%E5%88%B6%E7%82%B9
[26] Wikipedia. Cosine similarity. Available: https://en.wikipedia.org/wiki/Cosine_similarity
[27] J. Brooke, "SUS-A quick and dirty usability scale," Usability evaluation in industry, vol. 189, no. 194, pp. 4-7, 1996.
[28] J. Brooke, "SUS: a retrospective," J. Usability Studies, vol. 8, no. 2, pp. 29-40, 2013.
[29] A. Bangor, P. Kortum, and J. Miller, "Determining what individual SUS scores mean: Adding an adjective rating scale," Journal of usability studies, vol. 4, no. 3, pp. 114-123, 2009.
[30] J. Sauro. (2011). Measuring usability with the system usability scale (SUS). Available: https://measuringu.com/sus/
[31] N. Thomas, "How To Use The System Usability Scale (SUS) To Evaluate The Usability Of Your Website," Usability Geek, vol. 4, 2015.