Efficiently sharing user selected information with a set of determined recipients
View Patent ↗Targeted information to be shared according to a “pre-analyzed user behavior” of a set of potential candidates is analyzed. The pre-analyzed user behavior is determined from a set of previously conveyed messages from a sender to one of the potential candidates. A list representing a determined subset of the potential candidates and related preference tools/applications is presented to the sender via a user interface. Tools/applications are determined for sending said targeted information content. An action message is sent to the tools/applications of selected candidates, which results in each of the subset of potential candidates receiving the targeted information.
1. A computer-implemented method, comprising:
receiving, from a sending user, a selection of targeted information;
analyzing, responsive to a share request message from the sending user, the targeting information according to pre-analyzed user behavior of a set of potential candidates to identify a subset of potential candidates;
presenting, to the sending user and via a user interface, the subset of potential candidates;
receiving, from the sending user, a selection of at least one of the subset of potential candidates; and
sending the target information to the selected at least one of the subset of potential candidates, wherein
the pre-analyzed user behavior is determined from a set of previously conveyed messages from the sending user to the set of potential candidates.
2. The method of claim 1 , wherein
related preference tools are also presented via the user interface in addition to the subset of potential candidates.
3. The method of claim 2 , wherein
a selection of one of the related preference tools is received,
an action message is sent to the selected one of the related preference tools via which the target information is sent to the selected at least one of the subset of potential candidates.
4. The method of claim 1 , wherein
the analyzing includes:
segmenting content of the target information, and
calculating a similarity score between the segmented contented and groups within the set of potential candidates.
5. The method of claim 1 , wherein
each one of the set of previously conveyed messages causes a generation of a user behavior message.
6. The method of claim 5 , wherein
the user behavior messages are analyzed to generate the pre-analyzed user behavior.
7. The method of claim 5 , wherein
each user behavior message includes a candidate name, a delivery type, and a delivery time.
8. A computer hardware system, comprising:
a hardware processor configured to initiate the following operations:
receiving, from a sending user, a selection of targeted information;
analyzing, responsive to a share request message from the sending user, the targeting information according to pre-analyzed user behavior of a set of potential candidates to identify a subset of potential candidates;
presenting, to the sending user and via a user interface, the subset of potential candidates;
receiving, from the sending user, a selection of at least one of the subset of potential candidates; and
sending the target information to the selected at least one of the subset of potential candidates, wherein
the pre-analyzed user behavior is determined from a set of previously conveyed messages from the sending user to the set of potential candidates.
9. The system of claim 8 , wherein
related preference tools are also presented via the user interface in addition to the subset of potential candidates.
10. The system of claim 9 , wherein
a selection of one of the related preference tools is received,
an action message is sent to the selected one of the related preference tools via which the target information is sent to the selected at least one of the subset of potential candidates.
11. The system of claim 8 , wherein
the analyzing includes:
segmenting content of the target information, and
calculating a similarity score between the segmented contented and groups within the set of potential candidates.
12. The system of claim 8 , wherein
each one of the set of previously conveyed messages causes a generation of a user behavior message.
13. The system of claim 12 , wherein
the user behavior messages are analyzed to generate the pre-analyzed user behavior.
14. The system of claim 12 , wherein
each user behavior message includes a candidate name, a delivery type, and a delivery time.
15. A computer program product, comprising:
a hardware storage device having stored thereon computer usable program code that, when executed by a computer hardware system, causes the computer hardware system to perform:
receiving, from a sending user, a selection of targeted information;
analyzing, responsive to a share request message from the sending user, the targeting information according to pre-analyzed user behavior of a set of potential candidates to identify a subset of potential candidates;
presenting, to the sending user and via a user interface, the subset of potential candidates;
receiving, from the sending user, a selection of at least one of the subset of potential candidates; and
sending the target information to the selected at least one of the subset of potential candidates, wherein
the pre-analyzed user behavior is determined from a set of previously conveyed messages from the sending user to the set of potential candidates.
16. The computer program product of claim 15 , wherein
related preference tools are also presented via the user interface in addition to the subset of potential candidates.
17. The computer program product of claim 16 , wherein
a selection of one of the related preference tools is received,
an action message is sent to the selected one of the related preference tools via which the target information is sent to the selected at least one of the subset of potential candidates.
18. The computer program product of claim 15 , wherein
the analyzing includes:
segmenting content of the target information, and
calculating a similarity score between the segmented contented and groups within the set of potential candidates.
19. The computer program product of claim 15 , wherein
each one of the set of previously conveyed messages causes a generation of a user behavior message, and
the user behavior messages are analyzed to generate the pre-analyzed user behavior.
20. The computer program product of claim 19 , wherein
each user behavior message includes a candidate name, a delivery type, and a delivery time.