Media or content tagging determined by user credibility signals

• US 9,529,822 B2
• Filed: 10/05/2010
• Issued: 12/27/2016
• Est. Priority Date: 10/05/2010
• Status: Active Grant

• Current Assignee: R2 Solutions LLC (Acacia Research Corporation)
• Original Assignee: Yahoo! Inc. (Apollo Global Management, Inc.)
• Inventors: Murdock, Vanessa, van Zwol, Roelof, Papangelis, Emmanouil
• Primary Examiner(s): PHAM, KHANH B
• Application Number:
  US12/898,654
• Publication Number:
  US 20120084302A1
• Time in Patent Office: 2,275 Days
• Field of Search: 707/665, 707/668, 707/673, 707/688, 707/706, 707/709, 707/710, 707/711, 707/723, 707/727, 707/728, 707/730, 707/731, 707/736, 707/737, 707/741, 707748-754, 707/770, 707/776, 707/781
• US Class Current: 1/1
• CPC Class Codes: G06F 16/29 Geographical information databases

Abstract

Briefly, one or more embodiments of methods, apparatuses or systems for media or content tagging are described.

Claims

1. A method, comprising:

receiving an indication of geographic location;

associating the indication of geographic location with one or more electronic media or content items via a special purpose computing system;

identifying a set of other electronic media or content items comprising one or more signal sample values indicating a geographic location based, at least in part, on geographic proximity of the geographic location indicated by the one or more signal sample values to the indication of geographic location associated with the one or more electronic media or content items;

determining for the one or more electronic media or content items, via the special purpose computing system, one or more location tags comprising one or more binary digital signals comprising a text string indicating a geographic location;

wherein determining the one or more location tags comprises identifying a plurality of location tags comprising a text string associated with the set of other electronic media or content items, and further wherein the one or more location tags are determined at least in part in accordance with one or more user credibility signal sample values and the identified plurality of location tags, wherein the one or more user credibility signal sample values indicate a user reputation with respect to accuracy in evaluating a characteristic of the set of other electronic media or content items; and

associating the one or more location tags with the one or more electronic media or content items;

wherein the plurality of location tags associated with the set of other electronic media or content items comprises a plurality of categories and wherein the one or more location tags are determined at least in part in accordance with one or more user credibility signal sample values for a first category of the plurality of categories, and wherein the user credibility signal sample values for the first category of the plurality of categories are based, at least in part, on one or more deviation signal sample values corresponding to a distance between a target geographic location associated with one or more tags in the first category of the plurality of categories and an indication of geographic location associated with the set of other electronic media or content items.

2. The method of claim 1, wherein the determining comprises filtering the plurality of location tags associated with the set of other electronic media or content items at least in part in accordance with the one or more user credibility signal sample values.

3. The method of claim 2, wherein the filtering comprises filtering the plurality of location tags based at least in part on a threshold user credibility signal sample value.

4. The method of claim 1, wherein the user credibility signal sample values comprise a vector of user credibility signal sample values;

the vector comprising user credibility signal sample values for the first category of the plurality of categories and user credibility signal sample values for a second category of the plurality of categories.

5. The method of claim 1, wherein the user credibility signal sample values comprises a filtered combination of user credibility signal sample values.

6. The method of claim 5, wherein the filtered combination comprises a statistical mean.

7. The method of claim 1, further comprising:

determining a target geographic location corresponding to the one or more location tags;

determining one or more deviation signal sample values based at least in part on the target geographic location and the indication of geographic location associated with the one or more electronic media or content items, the one or more deviation signal sample values comprising a distance between the target geographic location and the indication of geographic location;

determining deviation signal sample values corresponding to a plurality of deviations of the set of other electronic media or content items based, at least in part, on a distance between a target geographic location for one or more of the plurality of location tags associated with the set of other electronic media or content items and the geographic location indicated by the one or more signal sample values associated with the set of other electronic media or content items;

determining a filtered combination of the plurality of deviations based at least in part on an average of the determined deviation signal sample values corresponding to the plurality of deviations of the set of other electronic media or content items; and

determining the one or more user credibility signal sample values based, at least in part, on a comparison of the determined one or more deviation signal sample values and the filtered combination of the plurality of deviations associated with the set of other electronic media or content items.

8. An apparatus comprising:

a special purpose computing system comprising a processor;

the special purpose computing system including a capability to;

receive an indication of geographic location;

associate, using the processor, the indication of geographic location with one or more electronic media or content items;

identify, using the processor, a set of other electronic media or content items to comprise one or more signal sample values to indicate a geographic location to be based, at least in part, on geographic proximity of the geographic location to be indicated by the one or more signal sample values to the indication of geographic location to be associated with the one or more electronic media or content items;

determine, for the one or more electronic media or content items, using the processor, one or more location tags to comprise one or more binary digital signals to comprise a text string to indicate a geographic location;

wherein to determine the one or more location tags to comprise an identification of a plurality of location tags to comprise a text string to be associated with the set of other electronic media or content items, and further wherein the special purpose computing system further to determine the one or more location tags at least in part in accordance with one or more user credibility signal sample values and the identified plurality of location tags, wherein the one or more user credibility signal sample values are to indicate a user reputation with respect to accuracy in evaluating a characteristic of the set of other electronic media or content items; and

associate, using the processor, the one or more location tags with the one or more electronic media or content items; and

wherein the plurality of location tags to be associated with the set of other electronic media or content items to comprise a plurality of categories and to determine the one or more location tags is at least in part in accordance with a first one of the one or more user credibility signal sample values for a first category of the plurality of categories, and wherein the user credibility signal sample values for the first category of the plurality of categories are to be based, at least in part, on one or more deviation signal sample values to correspond to a distance between a target geographic location to be associated with one or more tags in the first category of the plurality of categories and an indication of geographic location to be associated with the set of other electronic media or content items.

9. The apparatus of claim 8, wherein the special purpose computing system further to filter the plurality of location tags to be associated with the set of other electronic media or content items at least in part in accordance with the one or more user credibility signal sample values.

10. The apparatus of claim 9, wherein the special purpose computing system is further to filter the plurality of location tags to be based at least in part on a threshold user credibility signal sample value.

12. The apparatus of claim 8, wherein the special purpose computing system further includes a capability to:

determine a target geographic location to correspond to the one or more location tags;

determine one or more deviation signal sample values to be based at least in part on the target geographic location and the indication of geographic location to be associated with the one or more electronic media or content items, the one or more deviation signal ample values to comprise a distance between the target geographic location and the indication of geographic location;

determine deviation signal sample values to correspond to a plurality of deviations of the set of other electronic media or content items to be based, at least in part, on a distance between a target geographic location for one or more of the plurality of location tags to be associated with the set of other electronic media or content items and an indication of geographic location also to be associated with the set of other electronic media or content items;

determine a filtered combination of the plurality of deviations to be based at least in part on an average of the determined deviation signal sample values to correspond to the plurality of deviations of the set of other electronic media or content items; and

determine the one or more user credibility signal sample values to be based, at least in part, on a comparison of the determined one or more deviation signal sample values and the filtered combination of the plurality of deviations to be associated with the set of other electronic media or content items.

11. The apparatus of 10, wherein the one or more user credibility signal sample values to comprise a vector of user credibility signal sample values;

the vector to comprise the first one of the one or more user credibility signal sample values for the first category of the plurality of different categories and a second one of the user credibility signal sample values for a second category of the plurality of categories.

13. An article comprising:

a non-transitory storage medium having stored thereon instructions executable by a special purpose computing system;

the instructions executable to;

receive an indication of geographic location;

associate the indication of geographic location with one or more electronic media or content items via the special purpose computing system;

identify a set of other electronic media or content items to comprise one or more signal sample values to indicate a geographic location to be based, at least in part, on geographic proximity of the geographic location to be indicated by the one or more signal sample values to the indication of geographic location to be associated with the one or more electronic media or content items;

determine, for the one or more electronic media or content items, one or more location tags to comprise one or more binary digital signals to comprise a text string to indicate a geographic location;

wherein the instructions further executable to identify a plurality of location tags to comprise a text string to be associated with the set of other electronic media or content items, and further wherein to the instructions are executable are to determine the one or more location tags at least in part in accordance with one or more user credibility signal sample values and the identified plurality of location tags, wherein the one or more user credibility signal sample values are to indicate a user reputation with respect to accuracy in evaluating a characteristic of the set of other electronic media or content items; and

associate the one or more location tags with the one or more electronic media or content items; and

wherein the plurality of location tags to be associated with the set of other electronic media or content items are to comprise a plurality of categories and wherein the one or more location tags are to be determined at least in part in accordance with one or more user credibility signal sample values for a first category of the plurality of categories, and wherein the user credibility signal sample values for the first category of the plurality of categories are to be based, at least in part, on one or more deviation signal sample values to correspond to a distance between a target geographic location to be associated with one or more tags in the first category of the plurality of categories and an indication of geographic location to be associated with the set of other electronic media or content items.

14. The article of claim 13, wherein the instructions further to filter the plurality of location tags to be associated with the set of other electronic media or content items at least in part in accordance with the one or more user credibility signal sample values.

15. The article of claim 14, wherein the instructions to filter are further to filter the plurality of location tags to be based at least in part on a threshold user credibility signal sample value.

16. The article of 13, wherein the plurality of location tags to be associated with the set of other electronic media or content items to comprise a plurality of categories and wherein to determine the one or more location tags is at least in part in accordance with a first one of the one or more user credibility signal sample values for a first category of the plurality of categories.

17. The article of 16, wherein the one or more user credibility signal sample values to comprise a vector of user credibility signal sample values;

the vector to comprise the first one of the user credibility signal sample values for the first category of the plurality of categories and a second one of the one or more user credibility signal sample values for a second category of the plurality of categories.