Content ranking and serving on a multi-user device or interface

Abstract

The effectiveness of targeted content delivery at a multi-user interface can be directly linked to a proper targeting of users. A way of improving targeted content delivery at a multi-user interface can be to determine which users should be targeted based on one or more criteria. The present technology provides various methodologies for selecting one or more users associated with a multi-user interface to receive targeted content. Such users can be selected based on criteria associated with a ranking or priority of the users, criteria associated with an analysis of their interactions with the multi-user interface, criteria based on their most common characteristics, or any combination thereof. The user characteristics associated with such identified used can then be utilized to determine which content should be delivered to the multi-user interface.

1 . A method for providing content at a multi-user interface comprising:
 detecting, by a processor device, user interactions from a first user and a second user concurrently engaged with a client device;   in response to detecting the user interactions, obtaining, by the processor, user characteristics for the first user and the second user;   determining, by the processor device, a characteristic for the first user by applying a derivation rule to the user characteristics of the first user;   determining, by the processor device, a characteristic for the second user by applying the derivation rule to the user characteristics of the second user;   determining, by the processor device, the first user to receive first content based on a first priority between the first user and the second user;   determining, by the processor device, the second user to receive second content based on a second priority between the first user and the second user;   based on the characteristic for the first user, providing, by the processor device, the first content to be received by the first user at the client device; and   based on the characteristic for the second user, providing, by the processor device, the second content to be received by the second user at the client device.   
     
     
         2 . The method of  claim 1 , wherein obtaining the user characteristics for the first user and the second user comprises:
 associating first user interactions at the first client device to the first user, wherein the first user interactions are detected while the first user and second user are concurrently engaged with the client device; and   generating the user characteristics for the first user based on the user interactions.   
     
     
         3 . The method of  claim 2 , wherein obtaining the user characteristics for the first user and the second user further comprises:
 associating second user interactions at the first client device to the second user, wherein the second user interactions are detected while the first user and second user are concurrently engaged with the client device; and   generating the user characteristics for the second user based on the user interactions.   
     
     
         4 . The method of  claim 3 , wherein the derivation rule specifies selecting from the user characteristics, as the characteristic, a most common characteristic shared among a plurality of users and the first user. 
     
     
         5 . The method of  claim 2 , wherein the user interactions are at least one of audio, visual, textual, and gestural interactions. 
     
     
         6 . The method of  claim 1 , further comprising:
 inferring user identification information for the first user based on content currently being presented at the client device;   identifying a category of users based on the user identification information; and   wherein the user characteristics for the first user are identified based on the category of users.   
     
     
         7 . A non-transitory computer readable-medium comprising instructions for providing content at a multi-user interface, the instructions, executable by a processor, comprising:
 detecting user interactions from a first user and a second user concurrently engaged with a client device;   in response to detecting the user interactions, obtaining user characteristics for the first user and the second user;   determining a characteristic for the first user by applying a derivation rule to the user characteristics of the first user;   determining a characteristic for the second user by applying the derivation rule to the user characteristics of the second user;   determining the first user to receive first content based on a first priority between the first user and the second user;   determining the second user to receive second content based on a second priority between the first user and the second user;   based on the characteristic for the first user, providing the first content to be received by the first user at the client device; and   based on the characteristic for the second user, providing the second content to be received by the second user at the client device.   
     
     
         8 . The non-transitory computer readable-medium of  claim 7 , wherein obtaining the user characteristics for the first user and the second user comprises:
 associating first user interactions at the first client device to the first user, wherein the first user interactions are detected while the first user and second user are concurrently engaged with the client device; and   generating the user characteristics for the first user based on the user interactions.   
     
     
         9 . The non-transitory computer readable-medium of  claim 8 , wherein obtaining the user characteristics for the first user and the second user further comprises:
 associating second user interactions at the first client device to the second user, wherein the second user interactions are detected while the first user and second user are concurrently engaged with the client device; and   generating the user characteristics for the second user based on the user interactions.   
     
     
         10 . The non-transitory computer readable-medium  9 , wherein the derivation rule specifies selecting from the user characteristics, as the characteristic, a most common characteristic shared among a plurality of users and the first user. 
     
     
         11 . The non-transitory computer readable-medium of  claim 8 , wherein the user interactions are at least one of audio, visual, textual, and gestural interactions. 
     
     
         12 . The non-transitory computer readable-medium of  claim 7 , further comprising:
 inferring user identification information for the first user based on content currently being presented at the client device;   identifying a category of users based on the user identification information; and   wherein the user characteristics for the first user are identified based on the category of users.   
     
     
         13 . A system for providing content at a multi-user interface comprising:
 at least one processing device to:
 detect user interactions from a first user and a second user concurrently engaged with a client device; 
 in response to detecting the user interactions, obtain user characteristics for the first user and the second user; 
 determine a characteristic for the first user by applying a derivation rule to the user characteristics of the first user; 
 determine a characteristic for the second user by applying the derivation rule to the user characteristics of the second user; 
 determine the first user to receive first content based on a first priority between the first user and the second user; 
 determine the second user to receive second content based on a second priority between the first user and the second user; 
 based on the characteristic for the first user, provide the first content to be received by the first user at the client device; and 
 based on the characteristic for the second user, provide the second content to be received by the second user at the client device. 
   
     
     
         14 . The system of  claim 13 , wherein to obtain the user characteristics for the first user and the second user comprises:
 associating first user interactions at the first client device to the first user, wherein the first user interactions are detected while the first user and second user are concurrently engaged with the client device; and   generating the user characteristics for the first user based on the user interactions.   
     
     
         15 . The system of  claim 14 , wherein to obtain the user characteristics for the first user and the second user further comprises:
 associating second user interactions at the first client device to the second user, wherein the second user interactions are detected while the first user and second user are concurrently engaged with the client device; and   generating the user characteristics for the second user based on the user interactions.   
     
     
         16 . The system of  claim 15 , wherein the derivation rule specifies selecting from the user characteristics, as the characteristic, a most common characteristic shared among a plurality of users and the first user. 
     
     
         17 . The system of  claim 13 , wherein the user interactions are at least one of audio, visual, textual, and gestural interactions. 
     
     
         18 . The system of  claim 13 , wherein the at least one computing device is further configured to:
 infer user identification information for the first user based on content currently being presented at the client device;   identify a category of users based on the user identification information; and   wherein the user characteristics for the first user are identified based on the category of users.