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出版SSRN, 2020
URLhttp://books.google.com.hk/books?id=hHzizwEACAAJ&hl=&source=gbs_api
註釋A film advice is vital in our social lifestyles due to its electricity in presenting more suitable leisure. One of these gadget can recommend a hard and fast of films to customers founded totally on their hobby, or the popularities of the films. Even though, a set of movie advice systems were proposed most of these both can't suggest a film to the existing customers effectively or to a new consumer. On this paper we advocate a film advice network that has capability to suggest films to a recent consumer also the others. It mines film databases to that have to gather all of the important information, which include reputation and attractiveness, required for recommendation. It generates film swarms no longer handiest handy for film producer to plot a new brand film but also useful for movie recommendation Experimental research on the real statistics displays the performance and effectiveness of the proposed machine.