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Thursday, June 14, 2018

Who Builds Big Recommendation Engines

Breadth and particular participants were surprising.   How these operate essentially acts as the 'algorithm' for suggestion based upon data.   How well they work, and how this is perceived by the customer, is a key aspect of their operation.

From Wharton Customer Analytics Institute on Linkedin

E-commerce and Retailer are Adopting Recommendation Engine: Amazon and IBM to Generate More Revenue

Download PDF Brochure@ https://tinyurl.com/y8bzx2pn

Recommendation engines use a variety of technologies and techniques that enable them to filter large amounts of data and provide a smaller, focused body of suggestions for the user. 

Recommendation engines are common among e-commerce, social media and content-based websites. Amazon was one of the first sites to use a recommendation system. When the company was essentially an online book store, it began using software to suggest books the user might be interested in, based on data gathered about their previous activity, as well as the activity of other users who made similar choices.

The major vendors in the global recommendation engine, are IBM (US), SAP (Germany), Salesforce (US), HPE (US), Oracle (US), Google (US), Microsoft (US), Intel (US), AWS (US), and Sentient Technologies (US). New product launches, and product enhancements and partnerships are the key growth strategies adopted by these market players to offer feature-rich products and services to their customers.. ... "

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