Recommender Systems for E-commerce in online video advertising: Survey

Abstract

recommendation systems (RS) have become very widely used in recent years. They assist clients in getting data and making selections when they lack the knowledge required to judge on certain item. They can help the customer in efficacious information sorting. They are software system techniques that make suggestions supporting the client’s taste to find new things acceptable for them from a huge amount of data by filtering personal information. The user’s likes and preferences should precisely be identified in order to make the most appropriate suggestions. Recommendation systems have a crucial role in online video advertisement through introducing new products onto the market. They encourage people to purchase the items and provide an opportunity for e-commerce companies to introduce their products in videos. This survey introduces the recent techniques to compare various types of the recommender systems, recent recommendation algorithms and their use in the online videos advertisement. This comparison paves the way for knowing the advantages and disadvantages for each technique.