Love a restaurant? Swipe right on FoodRecce
A bunch of your friends wants to meet for dinner, but nobody can agree on where and what to eat? FoodRecce can help! FoodRecce is an app, developed under the Preferred.AI initiative, that provides recommendations on restaurants based on users' locations and past preferences.
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Institutional Knowledge at Singapore Management University
2020
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sg-smu-ink.research_infographics-10052024-02-02T03:04:25Z Love a restaurant? Swipe right on FoodRecce LAUW, Hady W. SMU Office of Research A bunch of your friends wants to meet for dinner, but nobody can agree on where and what to eat? FoodRecce can help! FoodRecce is an app, developed under the Preferred.AI initiative, that provides recommendations on restaurants based on users' locations and past preferences. 2020-07-30T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/research_infographics/2 https://ink.library.smu.edu.sg/context/research_infographics/article/1005/viewcontent/Love_a_Restaurant__Swipe_Right_on_FoodRecce.pdf Research@SMU Infographics Institutional Knowledge at Singapore Management University FoodRecce app recommender restaurants Artificial Intelligence and Robotics Computer Sciences Databases and Information Systems https://ink.library.smu.edu.sg/research_infographics/1005/thumbnail.jpg |
| institution |
Singapore Management University |
| building |
SMU Libraries |
| continent |
Asia |
| country |
Singapore Singapore |
| content_provider |
SMU Libraries |
| collection |
InK@SMU |
| topic |
FoodRecce app recommender restaurants Artificial Intelligence and Robotics Computer Sciences Databases and Information Systems |
| spellingShingle |
FoodRecce app recommender restaurants Artificial Intelligence and Robotics Computer Sciences Databases and Information Systems LAUW, Hady W. SMU Office of Research Love a restaurant? Swipe right on FoodRecce |
| description |
A bunch of your friends wants to meet for dinner, but nobody can agree on where and what to eat? FoodRecce can help! FoodRecce is an app, developed under the Preferred.AI initiative, that provides recommendations on restaurants based on users' locations and past preferences. |
| format |
text |
| author |
LAUW, Hady W. SMU Office of Research |
| author_facet |
LAUW, Hady W. SMU Office of Research |
| author_sort |
LAUW, Hady W. |
| title |
Love a restaurant? Swipe right on FoodRecce |
| title_short |
Love a restaurant? Swipe right on FoodRecce |
| title_full |
Love a restaurant? Swipe right on FoodRecce |
| title_fullStr |
Love a restaurant? Swipe right on FoodRecce |
| title_full_unstemmed |
Love a restaurant? Swipe right on FoodRecce |
| title_sort |
love a restaurant? swipe right on foodrecce |
| publisher |
Institutional Knowledge at Singapore Management University |
| publishDate |
2020 |
| url |
https://ink.library.smu.edu.sg/research_infographics/2 https://ink.library.smu.edu.sg/context/research_infographics/article/1005/viewcontent/Love_a_Restaurant__Swipe_Right_on_FoodRecce.pdf |
| _version_ |
1814047487870107648 |