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Zomato's Deepinder Goyal
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Zomato would introduce a “match score” system instead of relying on traditional ratings to recommend eateries based on personal food preferences.
Zomato's Deepinder Goyal
India’s leading restaurant aggregator Zomato is experimenting with a new way to help users find restaurants.
Deepinder Goyal’s company would introduce a “match score” system instead of relying on traditional ratings. This feature would recommend eateries based on personal food preferences rather than overall public reviews.
Deepinder Goyal took to X (formerly Twitter) and shared, “We all have different tastes in food—so why rely on the same restaurant ratings?”
Goyal claimed this system will remove bias from general reviews and help users find places that align with their tastes.
The Zomato boss also revealed that “internally, at Zomato” they have been trying out personalised “match scores” instead of traditional restaurant ratings, and “loving” it.
He elaborated that match scores reduce bias from mass opinions that might not match individual tastes.
“As a result, we’re discovering more relevant restaurants than ever before,” he added.
Deepinder Goyal urged everyone to share their feedback.
“Would you prefer match scores tailored to your preferences or stick with traditional ratings? Let us know in the replies!” he said.
We all have different tastes in food—so why rely on the same restaurant ratings?
— Deepinder Goyal (@deepigoyal) February 24, 2025
Internally, at Zomato, we have been trying out personalised “match scores” instead of traditional restaurant ratings, and we're loving it.
Match score reduces bias from mass opinions that might not… pic.twitter.com/g5n49dvhEU
Goyal’s proposal received a mixed response in the internet community.
Many individuals welcomed the change, arguing that food choice is deeply personal.
One user commented, “That sounds like a brilliant idea, Deepinder! I’m always frustrated when a highly-rated restaurant just doesn’t align with my personal tastes. Personalised match scores could definitely help me discover hidden gems that I might otherwise miss. I'm all for it!”
Another wrote, “match is vague, doesn’t help me much.
I want a “this place is rated 4.5 but users with similar order profiles rated it 3.2””