New Delhi: In a bid to show users newer and more helpful reviews, Amazon has introduced a new in-house tool designed especially for the task of handling customer feedback on products.
The new machine-learning platform has been built to make the reviews more useful to site visitors and as the system gradually starts altering the star ratings and top reviews on product pages, users will now see newer reviews more often.
A report on Cnet notes that the new system learns over time what reviews are most helpful and will give weight to reviews from Amazon purchasers and those that more customers vote up as being helpful. A product's 5-star rating, which previously was a pure average of all reviews, will also become weighted using those same criteria and hence, will undergo changes more often.
If a company tweaks or updates its products to address some customer complaint, the new system will make these small notifications more noticeable when shoppers are buying products.
As online trade lays more emphasis on customer reviews, this new tool will help Amazon tackle the issue off fake reviews and provide customers with genuine and helpful reviews which reflect the current product experience.
The new tool is currently introduced in the US and there is no word when it will be rolled out to other countries.
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