- Image source: 1843 Magazine A strong recommendation engine is equivalent to a healthy backbone for any businesses and it is equivalent to an efficient online salesman for the customers.
- According to a study by McKinsey, 35 per cent of what consumers purchase on Amazon and 75 per cent of what they watch on Netflix come from product recommendations based on strong algorithms.
- Dyuti Lal, CEO and Co-Founder of Nikhil Analytics, an analytics and machine learning consulting firm.
- How the system works is by combining the inputs from the collaborative filtering algorithms as well as from content-based recommendation to get the final recommendation,” Lal explains.
Recommendation Engines Are The Best Way To Deal With Information Overload
26 March 2019 12:32 AM GMT
A strong recommendation engine is equivalent to a healthy backbone for any businesses and it is equivalent to an efficient online salesman for the customers. The agility of recommendation engines in the age of data influx is a key determining factor for acquiring profit and most importantly driving a nuanced shopping experience thus proving to?