Making Product Recommendations
Recommendation Systems are a powerful tool in today’s digital world. By being able to extrapolate a user’s preferences based on past TV series or Movies viewed as well as similar genres viewed by peers of a user companies such as Netflix and others based in the streaming content business have been able to monetize this information to a great degree.
Build recommender systems in your ecommerce platforms to personalize to a market of one.
Streaming platforms are also deciding what type of content to deliver to its subscribers based on the most popular genres identified by these recommender systems.
Recommender Systems can be built as Collaborative Filtering Models, Content Based Models, Similarity Based Models, Matrix Factorization Models etc. Regardless of the technology stack or tools used by companies, the team at Cogniata are able to build technology agnostic recommender systems which will help to drive the ROI of especially e-commerce based platforms. We enable you to personalize the user experience of the customer on your platform to ensure that he/she feels that the recommendation generated are tailor-made for him/her.