Recommendation Engines Are The Best Way To Deal With Information Overload

Recommendation Engines Are The Best Way To Deal With Information Overload

  • 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.


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