Research On News Recommendation System Based On Hybrid Mechanism

With the popularity of computers and the rapid development of Internet, people can collect information from many different ways, which results the information overloading problem. Facing a large amount of information, it is very difficult for people to quickly and accurately retrieve the information they want. To solve this problem, traditional searching technique was proposed. However, the problems of the traditional searching technique are that it cannot provide customized service and has not high retrieval accuracy. Under this situation, recommendation algorithm was proposed. Compared with information retrieval, recommendation algorithm can supply customized service. In present recommendation algorithm has been widely applied in different fields, such as goods recommendation, news recommendation and advertisement recommendation.Traditional recommendation systems use two algorithms: collaborative filtering recommendation algorithm and content-based recommendation algorithm. However, these two algorithms have their own drawbacks. The collaborative filtering recommendation has the cold start problem and the scoring matrix sparsity problem with the increase of users. The recommendation algorithm based on the contents of the text has a high calculation complexity. In order to circumvent the drawbacks of the two recommendation algorithms and maximize the advantages of the two algorithms, this paper proposes a hybrid recommendation algorithm. This method is aimed at fully utilizing the advantages of the two recommendation algorithm s to provide users personalized and customized services. The main works of this paper are as follows:Firstly, we introduce and analysis the research works in this filed. We focus on the content-based recommendation algorithm, the collaborative filtering recommendation algorithm, and how to implement a system using these algorithms.Study the algorithm for extracting topic words of news.To solve the matrix sparse problem and the cold start problem existed in collaborative filtering recommendation algorithm, we study how to combine the content-based filtering algorithm and collaborative filtering recommendation algorithm to form an efficient hybrid recommendation algorithm.We design and implement a news recommendation system based the hybrid recommendation algorithm, and evaluate the effectiveness of the algorithm.