How machine learning boosts personalisation in travel

Consider this common hypothetical scenario. A user opens a browser and taps in ‘cheap flights from Boston to London’. Needless to say, what appears first in search are the ten blue links from Google. After some surfing, the user is then drawn to a metasearch engine like Skyscanner, Kayak or Momondo, where flights can be filtered by date and price. Here the cheapest deal is, let’s say, from Norwegian Airlines, and as the meta aggregates offers from various providers, the user again opens multiple links to deals from online travel agencies (OTAs).

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Source: Eye For Travel
How machine learning boosts personalisation in travel

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