Machine learning collaboration techniques
US-2024420212-A1 · Dec 19, 2024 · US
US2016379293A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016379293-A1 |
| Application number | US-201514753392-A |
| Country | US |
| Kind code | A1 |
| Filing date | Jun 29, 2015 |
| Priority date | Jun 29, 2015 |
| Publication date | Dec 29, 2016 |
| Grant date | — |
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Aspects of the present invention disclose a method for automatic ordering of food from a restaurant. In one aspect, the method includes determining at least one suggested restaurant from a plurality of restaurants based on a history of the user, at least one recent activity of the user, and information about the plurality of restaurants.
Opening claim text (preview).
What is claimed is: 1 . A computer implemented method for automatic ordering of food from a restaurant, the method comprising: determining at least one suggested restaurant for a user from a plurality of restaurants based on a history of the user, at least one recent activity of the user, and information about the plurality of restaurants. 2 . The computer implemented method of claim 1 , further comprising: transmitting an order for food to a selected restaurant from the at least one suggested restaurant based on an indication from the user accepting the order for food from the selected restaurant. 3 . The computer implemented method of claim 1 , wherein the history of the user includes one or more of: a contact list of the user; a phone log of the user; a history of browser activity of the user; a history of social media activity of the user; a history of biometric response of the user; and a calendar of the user. 4 . The computer implemented method of claim 1 , wherein information about the plurality of restaurants include one or more of the following: a travel time for the user to each of the plurality of restaurants; hours of operation of each of the plurality of restaurants; and social media activity of each of the plurality of restaurants. 5 . The computer implemented method of claim 4 , wherein social media activity of each of the plurality of restaurants comprises: ratings for each of the plurality of restaurants; reviews for each of the plurality of restaurants; and social media activity about each of the plurality of restaurants by at least one user associated with the user. 6 . The computer implemented method of claim 1 , further comprising: determining at least one alternate suggested restaurant based on receiving an indication from the user rejecting the plurality of restaurants. 7 . The computer implemented method of claim 1 , further comprising: providing an order for food from a selected restaurant based on at least one advertisement from the plurality of restaurants and an indication from the user of the selected restaurant from the plurality of restaurants; and transmitting the order for food to the selected restaurant based on receiving an indication from the user accepting the order for food from the selected restaurant. 8 . A computer program product for automatic ordering of food from a restaurant, the computer program product comprising: one or more computer readable storage media; and program instructions stored on the one or more computer readable storage media, the program instructions comprising: program instructions to determine at least one suggested restaurant for a user from a plurality of restaurants based on a history of the user, at least one recent activity of the user, and information about the plurality of restaurants. 9 . The computer program product of claim 8 , further comprising program instructions, stored on the one or more computer readable storage media, to: transmit an order for food to a selected restaurant from the at least one suggested restaurant based on an indication from the user accepting the order for food from the selected restaurant. 10 . The computer program product of claim 8 , wherein the history of the user includes one or more of: a contact list of the user; a phone log of the user; a history of browser activity of the user; a history of social media activity of the user; a history of biometric response of the user; and a calendar of the user. 11 . The computer program product of claim 8 , wherein information about the plurality of restaurants include one or more of the following: a travel time for the user to each of the plurality of restaurants; hours of operation of each of the plurality of restaurants; and social media activity of each of the plurality of restaurants. 12 . The computer program product of claim 11 , wherein social media activity of each of the plurality of restaurants comprises: ratings for each of the plurality of restaurants; reviews for each of the plurality of restaurants; and social media activity about each of the plurality of restaurants by at least one user associated with the user. 13 . The computer program product of claim 8 , further comprising program instructions, stored on the one or more computer readable storage media, to: determine at least one alternate suggested restaurant based on receiving an indication from the user rejecting the plurality of restaurants. 14 . The computer program product of claim 8 , further comprising program instructions, stored on the one or more computer readable storage media, to: provide an order for food from a selected restaurant based on at least one advertisement from the plurality of restaurants and an indication from the user of the selected restaurant from the plurality of restaurants; and transmit the order for food to the selected restaurant based on receiving an indication from the user accepting the order for food from the selected restaurant. 15 . A computer system for automatic ordering of food from a restaurant, the computer system comprising: one or more computer processors; one or more computer readable storage media; and program instructions stored on the one or more computer readable storage media for execution by at least one of the one or more computer processors, the program instructions comprising: program instructions to determine at least one suggested restaurant for a user from a plurality of restaurants based on a history of the user, at least one recent activity of the user, and information about the plurality of restaurants. 16 . The computer system of claim 15 , further comprising program instructions, stored on the one or more computer readable storage media for execution by at least one of the one or more computer processors, to: transmit an order for food to a selected restaurant from the at least one suggested restaurant based on an indication from the user accepting the order for food from the selected restaurant. 17 . The computer system of claim 15 , wherein the history of the user includes one or more of: a contact list of the user; a phone log of the user; a history of browser activity of the user; a history of social media activity of the user; a history of biometric response of the user; and a calendar of the user. 18 . The computer system of claim 15 , wherein information about the plurality of restaurants include one or more of the following: a travel time for the user to each of the plurality of restaurants; hours of operation of each of the plurality of restaurants; and social media activity of each of the plurality of restaurants. 19 . The computer system of claim 18 , wherein social media activity of each of the plurality of restaurants comprises: ratings for each of the plurality of restaurants; reviews for each of the plurality of restaurants; and social media activity about each of the plurality of restaurants by at least one user associated with the user. 20 . The computer system of claim 15 , further comprising program instructions, stored on the one or more computer readable storage media for execution by at least one of the one or more computer processors, to: determine at least one alternate suggested restaurant based on receiving an indication from the user rejecting the plurality of restaurants.
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