Method and apparatus for pushing situationally relevant data

• US 9,152,739 B2
• Filed: 04/04/2012
• Issued: 10/06/2015
• Est. Priority Date: 04/06/2011
• Status: Expired due to Fees

• Current Assignee: nTerop Corp.
• Original Assignee: nTerop Corp.
• Inventors: Aasen, Michael, Parsons, Jordan, Eizadshenass, Sina, Fisher, Andrew
• Primary Examiner(s): Mofiz, Apu
• Assistant Examiner(s): Nguyen, Cindy
• Application Number:
  US13/439,117
• Publication Number:
  US 20120259852A1
• Time in Patent Office: 1,280 Days
• Field of Search: 707/737
• US Class Current: 1/1
• CPC Class Codes: G06F 16/24575 using context
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 16/907 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 16/9538 Presentation of query results
• CPC Class Codes: G06Q 30/0251 Targeted advertisements
• CPC Class Codes: H04L 67/55 Push-based network services

Abstract

A computer-implemented method of providing users with contextually relevant data associates metadata tags with data items extracted from a variety of data sources that summarize the data items in searchable form using a common format. Contextual data is collected from the users indicative of their current situation. This data is then correlated with the metadata tags to identify data items of potential interest to the users taking into account their current situation. The identified data items are pushed to the relevant receiving devices in real time over a communications network to provide the identified users with information relevant to their current situation.

Claims

1. A computer-implemented method of providing a user with contextually relevant data, comprising:

storing within a database a plurality of metadata tags, each metadata tag associated with a data item of a plurality of data items stored within a data source of a plurality of data sources and summarizing the data item in a searchable form according to a common format;

establishing contextual data relating to the context of the user;

establishing relevant data items for the user, each relevant data item selected from the plurality of data items based upon applying a stored predetermined set of rules established in dependence upon at least a first predetermined portion of the contextual data to the plurality of data items, wherein

applying the stored predetermined set of rules established in dependence upon at least the first predetermined portion of the contextual data to the plurality of data items comprises;

retrieving a plurality of features;

each feature associated with a context within the first predetermined portion of the contextual data and comprising a rule for associating a score;

retrieving a plurality of weights, each weight associated with a feature of the plurality of features;

generating for each data item the plurality of scores associated with the plurality of features; and

generating for each data item a total score based upon applying a predetermined mathematical process to the plurality of scores and plurality of weights;

establishing relevant content receiving devices associated with the user in dependence upon at least a second predetermined portion of the contextual data; and

making a determination based upon at least a third predetermined portion of the contextual data whether to push the established relevant data items to the user, wherein

upon a positive determination generating predetermined subsets of the established relevant data items, each predetermined subset associated with a relevant content receiving device of the established relevant content receiving devices and configured to be pushed to the relevant content receiving device of the established relevant content receiving devices; and

upon a negative determination storing the established relevant data items for subsequent transmission to the user in dependence upon receipt of an indication from the user of ability to consume the established relevant data items.

2. A computer-implemented method according to claim 1, wherein

in real time the method:

stores the plurality of metadata tags within the database;

stores the data items within the data source of a plurality of data sources;

summarizes the data items in a searchable form according to a common format; and

establishes the relevant data items for the user.

3. computer-implemented method according to claim 1, wherein

the user is assigned a role;

and

the stored predetermined set of rules established in dependence upon at least a first predetermined portion of the contextual data is modified in dependence upon the role assigned to the user.

4. A computer-implemented method according to claim 1, wherein

the contextual data includes at least one of a current task of the user, a qualification of the user, an area of responsibility, and a subscription to a channel by the user wherein the channel contains relevant data items relating to a topic unassociated with a current task of the user.

5. A computer-implemented method according to claim 1, wherein

the method establishes a prioritized inbox for the user that contains only the currently determined relevant data items for the user.

6. A computer-implemented method according to claim 1, wherein

in real time the method updates the contextual data relating to the context of the user and makes the determinations whether to push the established relevant data items to the user.

7. A computer-implemented method according to claim 1, wherein

the user is a member of an organization having comprising a plurality of units and a set of ranks;

and

the contextual data of the user includes at least one of a unit of the plurality of units to which the user is associated, a rank of the set of ranks associated with the user, a level of training of the user, and a current task associated with the user by the organization.

8. A computer-implemented method according to claim 1, wherein

the data item of a plurality of data items stored within a data source of a plurality of data sources is generated in real time by another user.

9. A computer-implemented method according to claim 1, wherein

at least one of:

a nature and a type of the metatags associated with each data item of a plurality of data items is a configurable parameter of the system; and

the metatag of the plurality of metatags associated with a data item of the plurality of data items was established in real time by another user.

10. A computer-implemented method according to claim 1, wherein

an established relevant data item provided to the user as a result of a push or receipt of an indication to consume includes an indication to be provided to the user to indicate that the established relevant data item is an updated data item previously provided to the user.

11. A computer-implemented method according to claim 1, wherein

applying a stored predetermined set of rules established in dependence upon at least a first predetermined portion of the contextual data to the plurality of data items comprises creating a vector of scores per feature, and computing a scalar product of the vector of scores with a vector of weights associated with each feature.

12. A computer-implemented method according to claim 1, further comprising;

acquiring and storing audit data, the audit data relating to at least one of;

which data items were sent to the user;

when data items became available to the user;

when data items were accessed by the user; and

when a metadata tag was associated with a data item.

13. A computer-implemented method according to claim 1, wherein

an established relevant data item provided to the user as a result of a push or receipt of an indication are provided to the user overlaid over additional information, wherein the additional information is at least one of a template and a map and the established relevant data item is displayed according to the additional information.

14. A computer-implemented method according to claim 1, further comprising

ranking the established relevant data items;

and

ranking the data items pushed to the relevant receiving devices in order of interest.

15. A computer-implemented method according to claim 1, further comprising;

receiving feedback from the user with respect to a relevant data item of the established relevant data items; and

at least one of applying and modifying a ranking process applied to the established relevant data items in dependence upon the user feedback.

16. A computer-implemented method of providing a user with contextually relevant data, comprising:

storing within a database a plurality of metadata tags, each metadata tag associated with a data item of a plurality of data items stored within a data source of a plurality of data sources and summarizing the data item in a searchable form according to a common format;

receiving from the user an indication relating to receiving relevant data items;

establishing contextual data relating to the context of the user;

establishing the relevant data items for the user, each relevant data item selected from the plurality of data items based upon applying a stored predetermined set of rules established in dependence upon at least a first predetermined portion of the contextual data to the plurality of data items, wherein;

applying the stored predetermined set of rules established in dependence upon at least the first predetermined portion of the contextual data to the plurality of data items comprises;

retrieving a plurality of features;

each feature associated with a context within the first predetermined portion of the contextual data and comprising a rule for associating a score;

retrieving a plurality of weights, each weight associated with a feature of the plurality of features;

generating for each data item the plurality of scores associated with the plurality of features; and

generating for each data item a total score based upon applying a predetermined mathematical process to the plurality of scores and plurality of weights;

establishing relevant content receiving devices associated with the user in dependence upon at least a second predetermined portion of the contextual data; and

generating predetermined subsets of the established relevant data items, each predetermined subset associated with a relevant content receiving device of the established relevant content receiving devices and configured to be pushed to the relevant content receiving device of the established relevant content receiving devices.

17. A system for providing a user with contextually relevant data, comprising:

a database for storing a database a plurality of metadata tags, each metadata tag associated with a data item of a plurality of data items stored within a data source of a plurality of data sources and summarizing the data item in a searchable form according to a common format;

a first software module in execution upon a microprocessor for establishing contextual data relating to the context of the user;

a second software module for establishing relevant data items for the user, each relevant data item selected from the plurality of data items based upon applying a stored predetermined set of rules established in dependence upon at least a first predetermined portion of the contextual data to the plurality of data items;

a third software module for establishing relevant content receiving devices associated with the user in dependence upon at least a second predetermined portion of the contextual data;

a fourth software module for making a determination based upon at least a third predetermined portion of the contextual data whether to push the established relevant data items to the user, wherein

upon a positive determination generating predetermined subsets of the established relevant data items, each predetermined subset associated with a relevant content receiving device of the established relevant content receiving devices and configured to be pushed to the relevant content receiving device of the established relevant content receiving devices; and

upon a negative determination storing the established relevant data items for subsequent transmission to the user in dependence upon receipt of an indication from the user of ability to consume the established relevant data items; and

a fifth software module for;

retrieving a plurality of features;

each feature associated with a context within the first predetermined portion of the contextual data and comprising a rule for associating a score;

retrieving a plurality of weights, each weight associated with a feature of the plurality of features;

generating for each data item the plurality of scores associated with the plurality of features; and

generating for each data item a total score based upon applying a predetermined mathematical process to the plurality of scores and plurality of weights.

18. A system according to claim 17, wherein in real time the system:

stores the plurality of metadata tags within the database;

stores the data items within the data source of a plurality of data sources;

summarizes the data items in a searchable form according to a common format; and

establishes the relevant data items for the user.

19. A system according to claim 17, wherein

an established relevant data item provided to the user as a result of a push or receipt of an indication are provided to the user overlaid over additional information, wherein the additional information is at least one of a template and a map and the established relevant data item is displayed according to the additional information.

20. A system according to claim 17, wherein

the system establishes a prioritized inbox for the user that contains only the currently determined relevant data items for the user.

21. A system according to claim 17, wherein

in real time the system updates the contextual data relating to the context of the user and makes the determinations whether to push the established relevant data items to the user.

22. A system according to claim 17, wherein

the user is a member of an organization having comprising a plurality of units and a set of ranks;

and

the contextual data of the user includes at least one of a unit of the plurality of units to which the user is associated, a rank of the set of ranks associated with the user, a level of training of the user, and a current task associated with the user by the organization.

23. A system according to claim 17, wherein

the data item of a plurality of data items stored within a data source of a plurality of data sources is generated in real time by another user.

24. A system according to claim 17, wherein

in real time the system updates the contextual data relating to the context of the user and makes the determinations whether to push the established relevant data items to the user.

25. A system according to claim 17, wherein

an established relevant data item provided to the user as a result of a push or receipt of an indication to consume includes an indication to be provided to the user to indicate that the established relevant data item is an updated data item previously provided to the user.

26. A system according to claim 17, wherein applying a stored predetermined set of rules established in dependence upon at least a first predetermined portion of the contextual data to the plurality of data items comprises creating a vector of scores per feature, and computing a scalar product of the vector of scores with a vector of weights associated with each feature.