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Luka: A.I. recommending restaurants in a chat interface

luka.ai

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Re: Luka: A.I. recommending restaurants in a chat interface

#3
post #2

at a glance seems so similar to the "magic" app that I can certainly think of this "natural talk chat" as some next trend for apps is this going over sms?

Too bad they didn't get the memo about the magic concept. The video is cute, but no way I'm installing this app without being able to try it first somehow.

Re: Luka: A.I. recommending restaurants in a chat interface

#4
This was fun to play with. It suggested an Indian restaurant so I tried saying "I don't like Indian food" and it followed up about whether I don't like it or I'm just not in the mood now. After suggesting another restaurant it correctly understood "Can you suggest something cheaper?" and returned a Looking forward to when Luka "learns" about Oakland restaurants!

Re: Luka: A.I. recommending restaurants in a chat interface

#5
post #2

at a glance seems so similar to the "magic" app that I can certainly think of this "natural talk chat" as some next trend for apps is this going over sms?

Too bad they didn't get the memo about the magic concept. The video is cute, but no way I'm installing this app without being able to try it first somehow.

SMS is going to be our next step - we started with texting in Russia actually. Our own app however let's us get a better UX for the users. Thanks for the tip!

Re: Luka: A.I. recommending restaurants in a chat interface

#6

This was fun to play with. It suggested an Indian restaurant so I tried saying "I don't like Indian food" and it followed up about whether I don't like it or I'm just not in the mood now. After suggesting another restaurant it correctly understood "Can you suggest something cheaper?" and returned a Looking forward to when Luka "learns" about Oakland restaurants!

Thanks for your feedback - we're improving our restaurant data now (it's all being collected automatically). Oakland is next to come - we'll keep you updated!

Re: Luka: A.I. recommending restaurants in a chat interface

#9

Just curious about your data sources, could you tell us what you are basing your recommendation on? Are you using review sites (Facebook, Google, Yelp) or is it something completely different?

We use more than 15 different data sources - mainly user reviews (Yelp, 4Square, TripAdvisor), blogs and professional media (SF Gate, Eater etc) and guidebooks (Michelin, Zagat etc). All data is collected automatically and then plugged into our data model. We extract entities and make sentiment analysis to learn what this place is good for exactly and to show relevant quotes. As people share much more in a conversation than they would on sites like Yelp matching our users' preferences with the restaurant data makes our recommendations more relevant and personalised.
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