The Design And Implementation Of Education Resources Recommendation System Based On ElasticSearch

With the rapid development of the Internet and the gradual popularization of educational informatization, more and more users choose to spread and acquire knowledge in a novel way, they are teaching and learning online. However, in the face of mass information on the network, people may hard to choose what they are interested. In the process to solve this issue, scholars and experts proposed various solutions, including search engine and personalized recommendation system, which are powerful weapons to solve this problem. The general search engine and the personalized recommendation system based on e-commerce have been widely used, but the research and application in online education is relatively small.The focus of this paper is to combine the search and personalized recommendation system with online education, to provide users with convenient and quick access to the education resources of interest. The main research results of this paper are as follows:(1)Organic combination of the open source search engine Elastic Search and recommendation, which provides users with a variety of choices. Search and recommendation are not mutually exclusive or include relationships, they have their own scenarios, and the two are complementary to each other. The needs of different levels of users to quickly access to teaching resources are satisfied and user's teaching&learning activities become more efficient.(2)Research and analysis of the several common recommendation algorithm, and according to the actual demand of cloud platform for online education, make some improvements to the traditional content-based recommend algorithm and item-based collaborative filtering algorithm according to their inadequacies, which improves the recommendation accuracy.(3)According to different usage scenarios, design different recommendation strategies, provide users with personalized teaching resources in multi dimension, enhance user stickiness and effectively improve the utilization of resources.The research results of this paper have value of application, which can save a lot of time and improve the efficiency of teaching and learning.