隨著電影成為重要的娛樂文化，在今日，電影產業已經成長得相當龐大以及難以預測。自從電影在1927年，聲音以及影像能被同步，到小鹿斑比(1942)以動畫電影在第二次世界大戰期間取得巨大的成功。在往後的70年間，隨著科技的進步以及拍攝手法的發展，電影產業成長的速度極為快速，今日，一部電影需要經過極大的努力以及許多的手續，才能被大眾觀賞。因此若我們能精準的預測一部作品的利潤，則能更好的說服製片公司能投資龐大的金錢以製作出好電影。在本篇論文，我們會透過資料探索以及資料視覺化探討電影類別的趨勢，然後提出一個方法，在投入那些巨大努力之前，來預測電影利潤。除利預測利潤這個主要目標之外，我們還會基於一個部落格文章的想法做修改，提出一個建造推薦系統的方法。

Watching films or motion pictures is an important entertainment culture such that the film industry becomes more complex and unpredictable nowadays. After sucessfully syncroning sound and frames of film in 1927[10], Bambi (1942) had a huge progress in making an animation film during World War II. Since then, as the advancement of technology and the development of filming techniques, the movie industry has grown rapidly and vastly in the following 70 years. Now, to play a piece of work to audiences, we have to go through a lot of processes with all kinds of efforts. Thus, to have better prediction of the possible profit of our work, then it may encourage the production companies to invest in such movies. In this thesis, we discuss the trend of genre and other information via exploration data, and data visualization, and then propose a prediction method for the potential profit of movies before investing more resources. Besides this main goal – predicting movie profits, we also discuss how to have a novel recommendation system via modifying the ideas of the blog post as potential future studies.

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