IMPRESSION TAGGING SYSTEM FOR LOCATIONS

• US 20180307739A1
• Filed: 04/19/2017
• Published: 10/25/2018
• Est. Priority Date: 04/19/2017
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Inventors: GROCHOCKI, JR., David, MONCAYO TORRES, Silvana P.
• Granted Patent: US 10,545,996 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/24573 using data annotations, e.g. user-defined metadata
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 16/29 Geographical information databases
• CPC Class Codes: G06F 3/04842 Selection of displayed objects or displayed text elements G06F3/0482 takes precedence
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data

Abstract

A server system comprising a processor configured to manage an extensible taxonomy of impression tags for categorizing the plurality of locations, monitor content sources for visitor impressions of the plurality of locations and extract a plurality of impression tag inputs from the visitor impressions, each impression tag input including an identified impression tag, a visited location of the plurality of locations, and visited location context data including a visited time interval of the plurality of time intervals, for each impression tag input, aggregate that impression tag input into aggregated impression tag input data in a location profile of the plurality of location profiles that is associated with the visited location of that impression tag input, and for each location profile, select one or more categorizing impression tags from the extensible taxonomy of impression tags based on at least the aggregated impression tag input data of that location profile.

Claims

1. A server system comprising a processor configured to:

store a plurality of location profiles respectively associated with a plurality of locations, each location profile having calendar data including a plurality of time intervals;

manage an extensible taxonomy of impression tags for categorizing the plurality of locations;

monitor content sources for visitor impressions of the plurality of locations and extract a plurality of impression tag inputs from the visitor impressions, each impression tag input including an identified impression tag, a visited location of the plurality of locations, and visited location context data including a visited time interval of the plurality of time intervals;

based on at least a determination that one of the identified impression tags of the plurality of extracted impression tag inputs is not included in the extensible taxonomy of impression tags, extend the extensible taxonomy of impression tags with the one of the identified impression tags as a crowd-sourced impression tag;

for each impression tag input, aggregate that impression tag input into aggregated impression tag input data in a location profile of the plurality of location profiles that is associated with the visited location of that impression tag input; and

for each location profile, select one or more categorizing impression tags from the extensible taxonomy of impression tags for each of the plurality of time intervals based on at least the aggregated impression tag input data of that location profile.

2. The server system of claim 1, wherein the processor is further configured to:

receive, from a client computing device, a search request having a requested impression tag and search request context data including a target time interval of the plurality of time intervals;

select a target location profile from the plurality of location profiles that has one or more categorizing impression tags selected for the target time interval of the plurality of time intervals that correspond to the requested impression tag; and

transmit, to the client computing device, a search result including the target location profile.

3. The server system of claim 2, wherein the plurality of locations are selected from the group consisting of buildings, businesses, routes, landmarks, geolocations, and collections of locations.

4. The server system of claim 2, wherein the calendar data for each of the plurality of location profiles includes a plurality of time intervals selected from the group consisting of day, time of day, month, year, and season.

5. The server system of claim 2, wherein the calendar data for each of the plurality of location profiles includes event time intervals of the plurality of time intervals for events that occur at the associated location.

6. The server system of claim 2, wherein the extensible taxonomy of impression tags includes words, emoticons, and user uploaded images.

7. The server system of claim 2, wherein based on at least a determination that one of the crowd-sourced impression tags of the extensible taxonomy of impression tags has an extraction frequency that is lower than a threshold frequency value, the processor is further configured to remove the one of the crowd-sourced impression tags from the extensible taxonomy of impression tags.

8. The server system of claim 2, wherein the processor is further configured to:

determine relations between two or more impression tags of the extensible taxonomy of impression tags based on at least aggregated impression tag input data of the plurality of location profiles; and

select a target location profile from the plurality of location profiles further based on determined relations between the one or more categorizing impression tags of the target location profile and the requested impression tag.

9. The server system of claim 2, wherein the processor is further configured to:

send the extensible taxonomy of impression tags to a client computing device; and

receive an impression tag input from the client computing device including a user selection of one of the impression tags from the extensible taxonomy of impression tags as the identified impression tag.

10. The server system of claim 2, wherein visited location context data of each impression tag input further includes a visited location condition of a plurality of location conditions, and wherein the processor is further configured to:

select one or more categorizing impression tags from the extensible taxonomy of impression tags for each of the plurality of location conditions based on at least the aggregated impression tag input data of that location profile; and

select a target location profile from the plurality of location profiles that has one or more categorizing impression tags selected for a target location condition of the target location associated with the target location profile at the target time interval that correspond to the requested impression tag.

11. The server system of claim 10, wherein the plurality of location conditions includes weather conditions.

12. A method comprising:

storing a plurality of location profiles respectively associated with a plurality of locations, each location profile having calendar data including a plurality of time intervals;

managing an extensible taxonomy of impression tags for categorizing the plurality of locations;

monitoring content sources for visitor impressions of the plurality of locations and extracting a plurality of impression tag inputs from the visitor impressions, each impression tag input including an identified impression tag, a visited location of the plurality of locations, and visited location context data including a visited time interval of the plurality of time intervals;

based on at least determining that one of the identified impression tags of the plurality of extracted impression tag inputs is not included in the extensible taxonomy of impression tags, extending the extensible taxonomy of impression tags with the one of the identified impression tags as a crowd-sourced impression tag;

for each impression tag input, aggregating that impression tag input into aggregated impression tag input data in a location profile of the plurality of location profiles that is associated with the visited location of that impression tag input; and

for each location profile, selecting one or more categorizing impression tags from the extensible taxonomy of impression tags for each of the plurality of time intervals based on at least the aggregated impression tag input data of that location profile.

13. The method of claim 12, further comprising:

receiving a search request having a requested impression tag and search request context data including a target time interval of the plurality of time intervals;

selecting a target location profile from the plurality of location profiles that has one or more categorizing impression tags selected for the target time interval of the plurality of time intervals that correspond to the requested impression tag; and

transmitting a search result including the target location profile.

14. The method of claim 13, wherein the plurality of locations are selected from the group consisting of buildings, businesses, routes, landmarks, geolocations, and collections of locations.

15. The method of claim 13, wherein the calendar data for each of the plurality of location profiles includes a plurality of time intervals selected from the group consisting of day, time of day, month, year, and season.

16. The method of claim 13, wherein the calendar data for each of the plurality of location profiles includes event time intervals of the plurality of time intervals for events that occur at the associated location.

17. The method of claim 13, wherein the extensible taxonomy of impression tags includes words, emoticons, and user uploaded images.

18. The method of claim 13, wherein based on at least determining that one of the crowd-sourced impression tags of the extensible taxonomy of impression tags has an extraction frequency that is lower than a threshold frequency value, removing the one of the crowd-sourced impression tags from the extensible taxonomy of impression tags.

19. The method of claim 13, further comprising:

determining relations between two or more impression tags of the extensible taxonomy of impression tags based on at least aggregated impression tag input data of the plurality of location profiles; and

selecting a target location profile from the plurality of location profiles further based on determined relations between the one or more categorizing impression tags of the target location profile and the requested impression tag.

20. A server system comprising a processor configured to:

store a plurality of location profiles respectively associated with a plurality of locations;

manage an extensible taxonomy of impression tags for categorizing the plurality of locations;

monitor content sources for visitor impressions of the plurality of locations and extract a plurality of impression tag inputs from the visitor impressions, each impression tag input including an identified impression tag and a visited location of the plurality of locations;

based on at least a determination that one of the identified impression tags of the plurality of extracted impression tag inputs is not included in the extensible taxonomy of impression tags, extend the extensible taxonomy of impression tags with the one of the identified impression tags as a crowd-sourced impression tag;

for each impression tag input, aggregate that impression tag input into aggregated impression tag input data in a location profile of the plurality of location profiles that is associated with the visited location of that impression tag input; and

for each location profile, select one or more categorizing impression tags from the extensible taxonomy of impression tags based on at least the aggregated impression tag input data of that location profile.