Amazon uses artificial intelligence to improve review/rating system
Reviews and ratings are an important part of consumers’ shopping journeys, but false reviews can upset the trust shoppers place in retail sites. Amazon.com has introduced a new platform it developed in-house that promises to make the reviews and ratings on its site more useful for its millions of customers.
Amazon spokesperson Julie Law wrote in an email to InformationWeek, "The enhanced system will use a machine-learned model to give more weight to newer, more helpful reviews from Amazon customers. The system will continue to learn which reviews are most helpful to customers, and improve the experience over time."
The new system will use a variety of criteria to determine the relative rank of reviews on the site. These include date (newer reviews are weighted more heavily than older ones), confirmed purchase of a product and, most importantly, whether others found it useful.
Back in April, Amazon sued operators of several websites for writing fake reviews for profits on the site. The suit alleged sites including buyamazonreviews.com, bayreviews.net and buyreviewsnow.com engaged in trademark violations, unfair competition and deceptive acts.
- Amazon Applies Machine Learning To Improve Review – InformationWeek
- Amazon looks to improve customer-reviews system with machine learning – CNET
- Amazon sues over fake reviews – RetailWire
Do you expect Amazon’s new platform will provide more useful reviews and ratings for its customers? How will Amazon’s new system affect its business?