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摘要


現代的電影資料庫相當龐大情況下,使用者要快速又準確地找到感興趣項目就需要推薦系統。本研究使用的資料來自於某電影影音平台,利用使用者的觀影記錄及影片的特徵,來分析使用者的喜好,透過內容導向推薦的方式,根據使用者的喜好來做出電影推薦。

並列摘要


In the case of a large modern movie database, users need a recommender system to quickly and accurately find items of interest. The data of this study come from a movie video platform, using the user's movie viewing records, as well as the description and characteristics of the movie, to analyze the user's preferences, and make movie recommendations according to the user's preferences through the content-oriented recommendation method.

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