Delivery time optimization

Patent metadata

Field	Value
Publication number	US-9420062-B2
Application number	US-201414292201-A
Country	US
Kind code	B2
Filing date	May 30, 2014
Priority date	May 30, 2014
Publication date	Aug 16, 2016
Grant date	Aug 16, 2016

Abstract

Techniques for optimizing a delivery time for the delivery of messages are described. According to various embodiments, members of an online social network service that are currently located in a particular geographic location (e.g., a particular time zone) are identified. Thereafter, messages (e.g., e-mails) are transmitted to the members at multiple local times (e.g., multiple times of the day). It is then determined that one or more of the messages that were transmitted at a particular local time have received a highest value for a response metric among the messages, the response metric indicating responses by the members to the messages. The particular local time is then classified as an optimum local message delivery time for the particular geographic location.

First claim

What is claimed is:

1. A method comprising:
identifying a plurality of members of an online social network service that are currently located in a particular geographic location;
transmitting, to the plurality of members, a plurality of messages at multiple local times;
determining, using one or more processors, that one or more of the messages transmitted at a particular local time have received a highest value for a response metric among the plurality of messages, the response metric indicating responses by the plurality of members to the plurality of messages; and
classifying the particular local time as an optimum local message delivery time for the particular geographic location.

2. The method of claim 1 , wherein the particular geographic location corresponds to a particular time zone.

3. The method of claim 1 , wherein the particular local time corresponds to a particular time of the day.

4. The method of claim 3 , wherein the optimum local message delivery time corresponds to a predetermined time interval that includes particular time of the day.

5. The method of claim 4 , wherein the predetermined time interval corresponds to a one hour time interval.

6. The method of claim 1 , wherein the particular local time corresponds to a day of the week.

7. The method of claim 1 , wherein the multiple local times are determined randomly.

8. The method of claim 1 , further comprising:
determining that a specific member of the online social network service is currently located in the particular geographic location; and
adjusting message delivery preferences associated with the specific member to indicate the optimum local message delivery time.

9. The method of claim 8 , further comprising:
transmitting a message to the specific member at the optimum local message delivery time, based on the updated message delivery preferences associated with the specific member.

10. The method of claim 1 , wherein each of the plurality of messages corresponds to at least one of an email message, a text message, a social network instant message, and a chat message.

11. The method of claim 1 , wherein the response metric corresponds to a click through rate associated with one or more reference links included in the plurality of messages.

12. The method of claim 1 , wherein the response metric corresponds to an access rate associated with viewing or opening the plurality of messages.

13. The method of claim 1 , wherein the response metric corresponds to a reply rate associated with replying to the plurality of messages.

14. The method of claim 1 , wherein the plurality of members of the online social network service correspond to a first group of members of the online social network service that are currently located in the particular geographic location, and
wherein the method further comprises automatically adjusting message delivery preferences associated with a second group of members of the online social network service that are currently located in the particular geographic location to indicate the optimum local message delivery time.

15. The method of claim 1 , further comprising:
determining that one or more of the messages transmitted at a second local time have received a second highest value for the response metric among the plurality of messages; and
classifying the second local time as a second optimum local message delivery time for the particular geographic location.

16. The method of claim 15 , further comprising:
determining that a message cannot be transmitted at the optimum local message delivery time to a member of the online social network service located in the particular geographic location; and
transmitting the message to the member at the second optimum local message delivery time.

17. The method of claim 15 , further comprising:
identifying a first message and a second message for transmission to a member of the online social network service;
determining that the first message has a higher importance score than the second message;
transmitting the first message to the member at the optimum local message delivery time; and
transmitting the second message to the member at the second optimum local message delivery time.

18. A system comprising:
a machine including a memory and at least one processor;
a location module configured to identify a plurality of members of an online social network service that are currently located in a particular geographic location; and
a delivery time optimization module, executable by the machine, configured to:
transmit, to the plurality of members, a plurality of messages at multiple local times;
determine that one or more of the messages transmitted at a particular local time have received a highest value for a response metric among the plurality of messages, the response metric indicating responses by the plurality of members to the plurality of messages; and
classify the particular local time as an optimum local message delivery time for the particular geographic location.

19. The system of claim 18 , wherein the delivery time optimization module is further configured to:
determine that a specific member of the online social network service is currently located in the particular geographic location; and
adjust message delivery preferences associated with the specific member to indicate the optimum local message delivery time.

20. A non-transitory machine-readable storage medium comprising instructions that, when executed by one or more processors of a machine, cause the machine to perform operations comprising:
identifying a plurality of members of an online social network service that are currently located in a particular geographic location;
transmitting, to the plurality of members, a plurality of messages at multiple local times;
determining that one or more of the messages transmitted at a particular local time have received a highest value for a response metric among the plurality of messages, the response metric indicating responses by the plurality of members to the plurality of messages; and
classifying the particular local time as an optimum local message delivery time for the particular geographic location.

Assignees

• Linkedin Corp

Inventors

• Vijay Ravi Kiran Holur
• Arai Benjamin
• Hull Mark
• Irmak Utku
• Khincha Pramod
• Shah Samir M
• Yan Ji
• Yuan Lawrence

Classifications

• G06Q10/40

  Business processes related to social networking or social networking services · CPC title

• G06Q50/01

  Physics · mapped topic

• H04W4/021 Primary

  Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences · CPC title

• H04W4/02

  Services making use of location information · CPC title

• H04L67/325 Primary

  Electricity · mapped topic