Sentence examples for based on purchase data from inspiring English sources

Amazon's recommendations are based on purchase data.

The service is a little bit Amazon, a little bit Last.fm, and a little bit Netflix, serving its users with recommendations that are based on purchase data, consumption data, combining a wide array of statistical and rule-based analysis with artificial intelligence techniques that both learn and forget — all in an effort to provide smarter recommendations while protecting user privacy.

The problem that AI is trying to solve is developing a system that understanding your needs based on purchase data and future needs and deliver recommendations in real-time.

Usage data is based on purchasing data and suggests that although overall hospital use of these drugs in Australia is higher than that in Denmark, the Netherlands, and Sweden, quinolone use in Australia is similar to or lower than use in hospitals in these countries (39 ).

That analysis was based on "purchase dates, square-footage figures, rental, occupancy and capitalization rates, operating margins, valuation ratios, leasehold arrangements and other mortgage data," the reporters Caleb Melby and Richard Rubin wrote.

PHE also calculated that from 2006 to 2011 27,500 HCV patients in England were probably treated based on purchasing and prescribing data for peg-IFN, equivalent to approximately 20% of the prevalent pool [ 4].

"But they got a lot of assets out of Abacus," he said, "like data-modeling techniques, Ph.D. statisticians and mathematicians who think about how to target campaigns based on purchase transaction history.

"There are few buyers that could purchase this unit based on purchase price.

It's highly likely that you have helped boost Amazon and Netflix's conversion rates on movies, books, or other products thanks to personalized suggestions of items that you may like based on your previous purchase data, other consumers' purchase history and more.

Titles from all children's magazines (targeted at children below 16 years) distributed in New Zealand will be identified and their popularity will be assessed based on readership data purchased from AC Nielson.

This paper proposes a framework and associated method for product features characterization and customers' preference prediction based on online product purchase data.