科研成果详情

This paper presents a novel movie recommendation application system. When people want to see a movie for fun, they may just search those with high ratings, which may not be the one they are really interested in. We proposed a system to try to solve this problem. It can provide more information about the movie and help audiences find the movie they are interested in. It uses the spider and word cloud to get the comments about movies from the website and integrate them into a picture saved in a database. Audiences can get the picture from the database to know more information about the movie based on all viewers' comments. This application simplifies the movie comments into some keywords and integrates them into a picture. It provides more information about the specific movie besides ratings, to help people look for their favorite movies.