Exploration of Hybrid Recommendation Algorithms for Learning Nature Software
Zixiang Zhang · 2023
Recommendation algorithm is a type of algorithm in the computer profession which includes methods such as content-based recommendation, collaborative filtering, model-based recommendation, and social relationship-based recommendation. It uses some mathematical algorithms to speculate what a user might like. The main place where recommendation algorithms are better applied is the web, where it finds out what a user might like by his or her behavior. Recommendation algorithms have been applied to websites in various fields, including books, music, videos, news, movies, maps, and so on. The application of e-commerce has also become popular in recent years. Amazon, ebay, staples, Dangdang.com, Douban Books, Taobao, etc. all use e-commerce recommendation systems, which not only bring huge additional benefits to these Internet merchants, but also improve user satisfaction and increase user stickiness The goal of this research is to provide Learning users (e.g. middle school students and high school students) to explore a personalized recommendation algorithm that is efficient and convenient for search recommendations, helps to understand users’ needs, and is based on user preferences. The goal is to bring a better experience and sense of use to users.