Real-time search term popularity determination, by search origin geographic location

• US 9,946,801 B2
• Filed: 08/11/2008
• Issued: 04/17/2018
• Est. Priority Date: 09/27/2007
• Status: Expired due to Fees

• Current Assignee: R2 Solutions LLC (Acacia Research Corporation)
• Original Assignee: Excalibur IP, LLC (Acacia Research Corporation)
• Inventors: Raghunathan, Vijay
• Primary Examiner(s): WILSON, KIMBERLY LOVEL
• Application Number:
  US12/189,723
• Publication Number:
  US 20090089280A1
• Time in Patent Office: 3,536 Days
• Field of Search: 707758
• CPC Class Codes: G06F 16/9537 Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
• CPC Class Codes: Y10S 707/99931 Database or file accessing

Abstract

Information is generated indicative of frequency of search terms presented to at least one online search service. As event indications, indicative of user interaction generally with front end servers, are being provided for persistent storage, ones of the event indications that are indicative of search events are detected. The detected ones of the search event indications are processed and it is determined, based at least in part thereon, by location, frequency data indicative of a frequency of each of a plurality of search terms presented to the at least one online search service. An indication of at least some of the frequency data is caused to be associated with indications of locations to which the frequency data corresponds. For example, the frequency data may be displayed superimposed on a map.

Claims

1. A method of generating information indicative of frequency of events, having particular characteristics, relative to at least one online service, comprising:

processing, by one or more computing systems in real-time, event indications being transmitted from front end servers for persistent storage, some of the event indications indicative of events that are not events relative to the at least one online service and some of the event indications indicative of events that are events relative to the at least one online service, the processing including detecting, as the event indications are being provided by the front end servers for persistent storage, event indications being provided from the front-end servers for persistent storage that are indicative of events relative to the at least one online service, wherein detecting includes selecting the event indications indicative of events that are relative to the at least one online service based, at least in part, on the event indications being received from search web servers of the front-end servers;

persistently storing, by the one or more computing systems, the event indications that are being provided from the front-end servers and are being processed to detect online service event indications that are indicative of the events relative to the at least one online service;

processing, by the one or more computing systems, the detected online service event indications and determining by the one or more computing systems in real-time, based at least in part thereon, by origin location of the events of which the detected online service event indications are indicative, frequency data indicative of a frequency of each of a plurality of characteristics of the events; and

causing, by the one or more computing systems, an indication of at least some of the frequency data to be associated with indications of event origin locations to which the frequency data corresponds.

2. The method of claim 1, further comprising:

causing a display to be generated based on the association of the indication of at least some of the frequency data with the indications of event origin locations to which the frequency data corresponds.

3. The method of claim 2, wherein:

causing a display to be generated based on the association of the indication of at least some of the frequency data with indications of event origin locations to which the frequency data corresponds includes causing the display to be generated with indications of at least some of the frequency data superimposed on a map based on the indications of event origin locations to which the frequency data corresponds.

4. The method of claim 1, wherein:

processing the detected online service event indications transmitted from the front-end servers for persistent storage and determining, based at least in part thereon, by origin location of the events of which the detected online service event indications are indicative, frequency data indicative of a frequency of each of a plurality of characteristics of the particular events relative to the at least one online service includes updating the determination of frequency data based on newly processed detected event indications of the event indication being provided from the front-end servers for persistent storage.

5. The method of claim 4, wherein:

updating the determinations of frequency data based on newly processed detected event indications of the event indication being provided from the front-end servers for persistent storage includes applying an algorithm that automatically decays frequency values of the frequency data over time.

6. The method of claim 1, wherein the event indications include event records, each of the event records having fields whose contents indicate characteristics of a corresponding event, wherein each of the event records includes a field whose contents correspond to a front-end server.

7. The method of claim 1, wherein the online service is an online search service.

8. The method of claim 7, wherein the frequency data indicates a frequency of each of a plurality of search terms presented to the at least one online service.

9. The method of claim 1, each of the event indications corresponding a single event record having fields whose contents indicate characteristics of a corresponding event.

10. A method of generating information indicative of frequency of events, having particular characteristics, relative to at least one online search service, comprising:

processing, by one or more computing systems in real-time, event indications, being transmitted from front end servers for persistent storage by at least persistently storing the event indications that are being provided from the front-end servers, some of the event indications indicative of events that are not events relative to the at least one online search service and some of the event indications indicative of events that are events relative to the at least one online search service;

selecting by the one or more computing systems, as the event indications are being provided from the front end servers for persistent storage, the event indications indicative of events that are relative to the at least one online search service;

processing, by the one or more computing systems, the selected event indications and determining by the one or more computing systems in real-time, based at least in part thereon, by origin location of events of which the selected event indications are indicative, frequency data indicative of a frequency of each of a plurality of characteristics of the events; and

causing, by the one or more computing systems, an indication of at least some of the frequency data to be associated with indications of event origin locations to which the frequency data corresponds.

11. The method of claim 10, further comprising:

causing a display to be generated based on the association of the indication of at least some of the frequency data with indications of event origin locations to which the frequency data corresponds.

12. The method of claim 11, wherein:

causing a display to be generated based on the association of the indication of at least some of the frequency data with indications of event origin locations to which the frequency data corresponds and with indications of time periods to which the frequency data corresponds includes causing the display to be generated with indications of at least some of the frequency data superimposed on a map based on the indications of event origin locations to which the frequency data corresponds.

13. The method of claim 12, wherein the time periods comprise days.

14. The method of claim 10, wherein:

processing the detected online service event indications and determining frequency data indicative of a frequency of each of a plurality of characteristics of particular events relative to the at least one online search service includes updating the determination of frequency data based on newly processed event indications of the event indication being provided from the front-end servers for persistent storage.

15. The method of claim 14, wherein:

updating the determinations of frequency data based on newly processed event indications of the event indication being provided from the front-end servers for persistent storage includes applying an algorithm that automatically decays frequency values of the frequency data over time.

16. The method of claim 10, wherein selecting the event indications indicative of events that are relative to the at least one online search service is performed based, at least in part, on the event indications being received from search web servers of the front-end servers.

17. A method of generating information indicative of frequency of events, having particular characteristics, relative to at least one online service, comprising:

processing, by one or more computing systems in real-time, event indications being transmitted from front end servers for persistent storage, some of the event indications indicative of events that are not events relative to the at least one online service and some of the event indications indicative of events that are events relative to the at least one online service, the processing including detecting, as the event indications are being provided from the front end servers for persistent storage, the event indications being provided from the front-end servers for persistent storage that are indicative of events relative to the at least one online service, wherein detecting includes selecting the event indications indicative of events that are relative to the at least one online service based, at least in part, on the event indications being received from search web servers of the front-end servers;

persistently storing, by the one or more computing systems, the event indications that are being provided from the front-end servers and are being processed to detect online service event indications that are indicative of the events relative to the at least one online service;

processing, by the one or more computing systems, the detected online service event indications and determining by the one or more computing systems in real-time, based at least in part thereon, by values for a particular characteristic of the users who initiated events of which the online service event indications are indicative, frequency data indicative of a frequency of each of a plurality of characteristics of the events; and

causing, by the one or more computing systems, an indication of at least some of the frequency data to be associated with indications of the values for the particular characteristic of the users, to which the frequency data corresponds, wherein the online service is an online search service.

18. The method of claim 17, wherein processing the detected online service event indications and determining frequency data indicative of a frequency of each of a plurality of characteristics of particular events relative to the at least one online service comprises:

updating the determination of frequency data based on newly processed detected event indications of the event indication being provided from the front-end servers for persistent storage.

19. The method of claim 18, wherein updating the determinations of frequency data based on newly processed detected event indications of the event indication being provided from the front-end servers for persistent storage includes applying an algorithm that automatically decays frequency values-over time.

20. The method of claim 17, further comprising:

causing a display to be generated based on the association of the indication of at least some of the frequency data, with indications of the values for the particular characteristic of the users, to which the frequency data corresponds.

21. The method of claim 20, wherein causing a display to be generated based on the association of the indication of at least some of the frequency data, with indications of the values for the particular characteristic of the users, to which the frequency data corresponds, includes causing the display to be generated with indications of at least some of the frequency data superimposed on a map based on the indications of the values for the particular characteristic of the users, to which the frequency data corresponds.

22. A method of generating information indicative of frequency of events, having particular characteristics, relative to at least one online service, comprising:

processing, by one or more computing systems in real-time, event indications being transmitted from front end servers for persistent storage by at least persistently storing the event indications that are being provided from the front-end servers, some of the event indications indicative of events that are not events relative to the at least one online service and some of the event indications indicative of events that are events relative to the at least one online service;

selecting, by the one or more computing systems as the event indications are being provided from the front end servers for persistent storage, the event indications indicative of events that are relative to the at least one online service;

processing, by the one or more computing systems, the selected event indications and determining by the one or more computing systems in real-time, based at least in part thereon, by values for a particular characteristic of the users who initiated events of which the event indications are indicative, frequency data indicative of a frequency of each of a plurality of characteristics of the events; and

causing, by the one or more computing systems, an indication of at least some of the frequency data to be associated with indications of values for a particular characteristic of the users to which the frequency data corresponds.

23. The method of claim 22, further comprising:

causing a display to be generated based on the association of the indication of at least some of the frequency data, with indications of values for a particular characteristic of the users who initiated the events to which the frequency data corresponds.

24. The method of claim 23, wherein:

causing a display to be generated based on the association of the indication of at least some of the frequency data, with indications of values for a particular characteristic of the users who initiated the events and indications of values for time periods, to which the frequency data corresponds, includes causing the display to be generated with indications of at least some of the frequency data superimposed on a map based on the indications of values for a particular characteristic of the users who initiated the events to which the frequency data corresponds.

25. The method of claim 24, wherein the time periods comprise hours.

26. The method of claim 24, wherein the time periods comprise a time of day, the time of day including at least one of morning, afternoon, or evening.

27. The method of claim 22, wherein processing the detected online service event indications and determining frequency data indicative of a frequency of each of a plurality of characteristics of particular events relative to the at least one online service comprises:

updating the determination of frequency data based on newly processed online service event indications being provided from the front-end servers for persistent storage.

28. The method of claim 27, wherein updating the determinations of frequency data based on newly processed event indications being provided from the front-end servers for persistent storage comprises applying an algorithm that automatically decays frequency values over time.

29. The method of claim 22, wherein the online service is an online search service.