Sentence examples for shopping recommendations from inspiring English sources

Spotify's Discover Weekly, Daily Mix and Release Radar functionality, which create personalised playlists based on the users' previous activity, have been well-received by the userbase, but Amazon is hoping that its own success in shopping recommendations will transfer over.

Promising "the true Insider's guide to a city" with hotel, restaurant, bar, sightseeing and shopping recommendations, its guides are written by locals, with individual cities available for 69p a pop as in-app purchases.

To underline that, each spot includes allusions to features made popular by Amazon.com and other e-tailers like 24-hour service and personalized shopping recommendations based on past purchasing patterns.

Among Fodor's near-standard features is the "Time Out," which offers suggestions for food and drink on a walking tour; sections devoted to children's attractions and free sights; and thoughtful shopping recommendations.

As the cost of energy and other utilities rises inexorably, he reckons people will want far greater control over them, boosting demand for smart, energy-saving gadgets.People are used to predictive systems such as Amazon's personalised shopping recommendations.

Now data — gathered in those immense pools of information that are at the heart of everything from artificial intelligence to online shopping recommendations — is increasingly a focus of technology competition.

However, debates about how online shopping recommendation mechanisms (OREMs) should be designed have not been completely resolved.

The challenge with traditional online shopping recommendation mechanisms (TR-OREMs) is that they focus too much on quantitative factors.

To overcome these problems, we propose a causal map – online shopping recommendation mechanisms (CM-OREMs) based on a causal map.

The real revolution would have been true artificial intelligence, he said, not the type of predictive algorithm found in something like Amazon's shopping recommendation, but a machine that can handle information with the flexibility of the human mind.

Once the products ids have been encoded, the intelligence in the mall should compare shopper's whishlist with shops' recommendations.