Demography-Based Hybrid Recommender System for Movie Recommendations
推荐系统
计算机科学
地理
情报检索
广告
业务
作者
Bebin K. Raju,M. Umme Salma
出处
期刊:Lecture notes in electrical engineering日期:2022-01-01卷期号:: 49-58
标识
DOI:10.1007/978-981-16-9012-9_5
摘要
Recommender systems have been explored with different research techniques including content-based filtering and collaborative filtering. The main issue is with the cold start problem of how recommendations have to be suggested to a new user in the platform. There is a need for a system which has the ability to recommend items similar to the user’s demographic category by considering the collaborative interactions of similar categories of users. The proposed hybrid model solves the cold start problem using collaborative, demography, and content-based approaches. The base algorithm for the hybrid model SVDpp produced a root mean squared error (RMSE) of 0.92 on the test data.