公开(公告)号：US20240046332A1

公开(公告)日：2024-02-08

申请号：US18382230

申请日：2023-10-20

申请人： Microsoft Technology Licensing, LLC

发明人： Julia X. Gong ,  Jyotkumar Patel ,  Yale Song ,  Xuetao Yin ,  Xiujia Guo ,  Rajiv S. Binwade ,  Houdong Hu

IPC分类号： G06Q30/0601 ,  G06Q30/0282 ,  G06Q30/0204 ,  G06N3/04 ,  G06N3/08 ,  G06Q50/00 ,  G06V10/32 ,  G06F18/22

CPC分类号： G06Q30/0631 ,  G06Q30/0639 ,  G06Q30/0282 ,  G06Q30/0205 ,  G06N3/04 ,  G06N3/08 ,  G06Q50/01 ,  G06V10/32 ,  G06F18/22

摘要： The present disclosure provides method and apparatus for determining a food item from a photograph and a corresponding restaurant serving the food item. An image is received from a user, the image being associated with a consumable item. One or more ingredients of the consumable item in the image is identified along with a location of the user and using a neural network, determining one or more similar images from a database. A restaurant associated with each of the one or more similar images is determined along with a similarity score indicating a similarity between the restaurant and the identified content of the image. The one or more restaurants and/or associated similar food items are ranked based on the similarity score and a list of ranked restaurants is provided to the user.

公开(公告)号：US11830056B2

公开(公告)日：2023-11-28

申请号：US17102009

申请日：2020-11-23

申请人： Microsoft Technology Licensing, LLC

发明人： Julia X. Gong ,  Jyotkumar Patel ,  Yale Song ,  Xuetao Yin ,  Xiujia Guo ,  Rajiv S. Binwade ,  Houdong Hu

IPC分类号： G06Q30/0282 ,  G06F18/22 ,  G06Q30/0601 ,  G06N3/08 ,  G06Q30/0204 ,  G06N3/04 ,  G06Q50/00 ,  G06V10/32

CPC分类号： G06Q30/0631 ,  G06F18/22 ,  G06N3/04 ,  G06N3/08 ,  G06Q30/0205 ,  G06Q30/0282 ,  G06Q30/0639 ,  G06Q50/01 ,  G06V10/32

摘要： The present disclosure provides method and apparatus for determining a food item from a photograph and a corresponding restaurant serving the food item. An image is received from a user, the image being associated with a consumable item. One or more ingredients of the consumable item in the image is identified along with a location of the user and using a neural network, determining one or more similar images from a database. A restaurant associated with each of the one or more similar images is determined along with a similarity score indicating a similarity between the restaurant and the identified content of the image. The one or more restaurants and/or associated similar food items are ranked based on the similarity score and a list of ranked restaurants is provided to the user.