DYNAMIC DISPLAY OF CONTENT CONSUMPTION BY GEOGRAPHIC LOCATION

• US 20130235027A1
• Filed: 03/12/2012
• Published: 09/12/2013
• Est. Priority Date: 03/12/2012
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Sharifi, Matthew, Chen, Annie, Roblek, Dominik
• Granted Patent: US 9,224,118 B2
• Time in Patent Office: Days
• US Class Current: 345/418
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/29 Geographical information databases
• CPC Class Codes: G06F 16/78 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9537 Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
• CPC Class Codes: G06Q 10/0637 Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
• CPC Class Codes: G09B 29/006 Representation of non-cartographic information on maps, e.g. population distribution, wind direction, radiation levels, air and sea routes
• CPC Class Codes: G09B 29/007 using computer methods

Abstract

This disclosure relates to dynamic display of content consumption by geographic location. A recognition component recognizes content being consumed by a set of users, and identifies geographic locations of the consumption and a set of characteristics associated with the consumption. An aggregation component ranks the consumed content based on a subset of the characteristics associated with the consumption, and a display component generates a map displaying subsets of the consumed content as a function of respective rankings and geographic location.

Claims

1. A system, comprising:

a memory storing computer executable components; and

a processor that executes the following computer executable components stored in the memory;

a recognition component that recognizes content being consumed by a set of users, and that identifies geographic locations of consumption and a set of consumption characteristics;

an aggregation component that ranks respective consumed content as a function of a subset of the consumption characteristics; and

a display component that generates a map displaying subsets of the consumed content as a function of respective rankings and geographic location.

2. The system of claim 1, wherein the set consumption characteristics includes at least one of frequency of consumption, devices associated with the consumption, applications associated with the consumption, or a set of demographic data associated with the set of users.

3. The system of claim 1, wherein the map is a geographic map.

4. The system of claim 1, wherein the map is a heat map.

5. The system of claim 1, wherein the consumed content includes at least one of songs, movies, television shows, internet videos, websites, video games, applications, online articles, electronic books, or online searches.

6. The system of claim 1, further comprising a filter component that filters at least one of consumed content to be ranked or the subset of the consumption characteristics employed in the ranking.

7. The system of claim 6, further comprising a classifier that infers or determines a set of filters, wherein the filter component filters the at least one of consumed content to be ranked or the subset of the consumption characteristics employed in the ranking based at least in part on the set of filters.

8. The system of claim 6, further comprising a user preferences component that receives a set of user preferences regarding the consumed content to be ranked or the subset of the consumption characteristics employed in the ranking.

9. The system of claim 1, further comprising an archive component that maintains historical maps of subsets of consumed content.

10. The system of claim 1, wherein the display component generates the map as a custom map based on a rendering device'"'"'s capabilities.

11. The system of claim 1, further comprising a matching component that compares at least one of consumed content or a fingerprint of consumed content to a set of known content, and recognizes, based on the comparison, the consumed content.

12. A method, comprising:

employing a processor to execute computer executable components stored in memory to perform the following acts;

recognizing content being consumed by a set of users;

identifying a geographic location associated with the content being consumed and a set of content consumption characteristics;

ranking respective consumed content as a function of a subset of the content consumption characteristics; and

generating a map displaying subsets of the consumed content as a function of respective rankings and geographic location.

13. The method of claim 12, wherein identifying characteristics of content consumption includes identifying at least one of frequency of consumption, devices associated with the consumption, or applications associated with the consumption.

14. The method of claim 12, further comprising enabling setting a granularity of display of the consumed content.

15. The method of claim 14, wherein enabling setting the granularity of display includes enabling setting the granularity of display to at least one of a globe, a continent, a country, a region, a state, and a city.

16. The method of claim 12, further comprising filtering at least one of consumed content to be ranked or the subset of the content consumption characteristics employed in the rankings.

17. The method of claim 16, wherein the filtering includes filtering the at least one of consumed content to be ranked or the subset of content consumption characteristics employed in the rankings based at least in part on a set of user preferences.

18. A method, comprising:

employing a processor to execute computer executable components stored in memory to perform the following acts;

receiving a request regarding consumption of content in one or more geographic areas;

recognizing the consumption of content in the one or more geographic areas;

ranking subsets of the consumed content as a function of user consumption;

generating a map displaying the subsets of consumed content as a function of respective rankings of the subsets of consumed content and geographic location of respective consumption.

19. The method of claim 18, further comprising providing a set of granularities of view of the consumed content, the set of granularities of view including at least one of a continent, a country, a region, a state, or a city.

20. The method of claim 18, wherein receiving the request regarding consumption of content, includes receiving a request regarding consumption of at least one of songs, movies, television shows, internet videos, websites, video games, applications, online articles, electronic books, or online searches.

21. The method of claim 18, further comprising using a classifier to infer or determine a set filters, wherein the filtering is based at least in part on the set of filters.

22. The method of claim 18, further comprising generating the map as a custom map based on a rendering device'"'"'s capabilities.

23. The method of claim 18, further comprising generating the map in real-time as a custom map based on user preferences.