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

• US 7,428,522 B1
• Filed: 09/27/2007
• Issued: 09/23/2008
• Est. Priority Date: 09/27/2007
• Status: Active Grant

• Current Assignee: R2 Solutions LLC (Acacia Research Corporation)
• Original Assignee: Yahoo! Inc. (Apollo Global Management, Inc.)
• Inventors: Raghunathan, Vijay
• Primary Examiner(s): Wassum; Luke S.
• Application Number:
  US11/862,967
• Time in Patent Office: 362 Days
• Field of Search: None
• US Class Current: 1/1
• 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 search terms presented to at least one online search service, comprising:

processing event indications, indicative of user interaction generally with front-end servers such that some of the event indications are indicative of events that are not search events and some of the event indications are indicative of events that are search events, that are being provided from the front-end servers for persistent storage to detect event indications being provided from the front-end servers for persistent storage that are indicative of search events;

persistently storing the event indications that are being provided from the front-end servers and are being processed to detect event indications that are indicative of search events;

processing the detected search event indications of the event indication being provided from the front-end servers for persistent storage and determining based at least in part thereon, by origin location of the events, frequency data indicative of a frequency of each of a plurality of search terms presented to the at least one online search service; and

causing 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 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 search event indications of the event indication being provided from the front-end servers for persistent storage and determining based at least in part thereon, by event origin location, frequency data indicative of a frequency of each of a plurality of search terms presented to the at least one online search service includes updating the determination of frequency data based on newly processed detected search 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 search 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.