Tools and techniques for solving cold start recommendation

Abstract

Recommendation Systems are very important systems that saves users time and resources by saving them from searching the bulk data. The best example is googling which searches and gives list of hundreds of pages. Therefore, a major challenge of Recommendation Systems can be how to make recommendations for a new user, that is called cold-start user problem in this papers we are trying to identify different kinds of cold start problems in Recommendation Systems. We are also trying to explore different types of solutions to these problems in last 10 years. are very important systems that saves users time and resources by saving them from searching the bulk data. The best example is googling which searches and gives list of hundreds of pages. Therefore, a major challenge of Recommender systems can be how to make recommendations for a new user, that is called cold-start user problem in this papers we are trying to identify different kinds of cold start problems recommender systems. We are also trying to explore different types of solutions to these problems in last 10 years.