Implementation of the Demographic-Based Recommendation Algorithm Using Big Data

Using the powerful functions of search engines, search through keywords, and only passively help people search, this has not been enough to meet more needs of people. Recommendation engines, is able to take the initiative to find the user in the past, present and future activities and demand rule, through data collection and analysis to explore the user's hobbies and interests, and active user may be interested in information feedback to the user of an information network, the user may be of interest to the content which needs to recommend to the user. The idea of user-based, content-based and demographic-based recommendation mechanism is adopted to analyze and calculate these real data and extract the recommendation results to recommend to users to complete personalized movie recommendation.