信息推荐算法的研究与系统实现

he article firstly reviewed information recommendation technology in the perspective of Web search. Also it compared the category, respective features and applications of those algorithms. Then taking a movie recommendation system's building procedure as example, it introduced the implementation of corresponding algorithms. The procedure included retrieving a number of user and movie review data, processing the date according to practical demands. Based on that, it chose the user-based collaborative filtering algorithm to realize the systems, considering the unique characteristic of movie recommendation. Finally, it got sufficient recommendation results with the help of Python and Redis. It figured out several optimization directions.