Question

(Recommendation Engines) Many companies utilize several recommendation engines with recommendation filters for their businesses. Search one company which utilizes any recommendation engines. Describe the business and the recommendation engine. Analyze how the company utilizes the recommendation engine for its business. Suggest your opinion on how to utilize the recommendation engines for the business performance. (100 points)

Answer 1

•A Recommendation engine is a system that suggests products, services, information to users based on analysis of data.

Amazon uses Recommendation Engines to suggest product to their custemers.

In case of Amazon Recommendation engine suggest that product to customer that they are more likely to buy in this way recommendation engine help to do more sale and grow the business.

Mainly there are two ways of recommendations-

1. Content-based filtering : Content-based filtering is based on a single user’s interactions and preference. Recommendations are based on the metadata collected from a user’s history and interactions. For example, recommendations will be based on looking at established patterns in a user’s choice or behaviours. Returning information such as products or services will relate to your likes or views.

2. Collaborative filtering :

Collaborative filtering is another commonly used technique. Collaborative filtering casts a much wider net, collecting information from the interactions from many other users to derive suggestions for you. This approach makes recommendations based on other users with similar tastes or situations.