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薦權重;又或是當使用者的行程安排接下來的時間,某POI 是不在開放或營業時間內 時,推薦系統就調低此類型POI 的推薦權重…等。

地圖上路徑的串連也是一趟行程順不順暢的重要因素,我們可以依據使用者完成後 的POIs,進行路徑最佳化的調整,把此行程所有安排的 POIs 標註於同一張地圖上,這 樣可以讓使用者在實地旅行時搭配本線上行程安排系統所提供的路線地圖遊玩,進而 增加本系統的易用程度。

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[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.

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[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:

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[13] M. J. Pazzani and D. Billsus, "Content-Based Recommendation Systems," in The Adaptive Web: Methods and Strategies of Web Personalization, P. Brusilovsky, A.

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[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.

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