TARGETED INSTANT MESSENGER BEHAVIORS EMPLOYED FOR OPTIMIZATION OF A CLIENT

• US 20100070962A1
• Filed: 09/15/2008
• Published: 03/18/2010
• Est. Priority Date: 09/15/2008
• Status: Active Grant

• Current Assignee: Yahoo Assets LLC
• Original Assignee: Yahoo! Inc. (Apollo Global Management, Inc.)
• Inventors: Choy, Kingston, Yuan, Bing, Tse, Takchun, Sinn, Richard
• Granted Patent: US 10,558,948 B2
• Time in Patent Office: Days
• US Class Current: 717/171
• CPC Class Codes: G06F 8/61 Installation
• CPC Class Codes: G06F 8/65 Updates security arrangements therefor G06F21/57
• CPC Class Codes: G06F 8/658 Incremental updates; Differential updates
• CPC Class Codes: G06F 8/71 Version control security arrangements therefor G06F21/57; Configuration management
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

A system and method are disclosed for selectively updating software and sending other information, such as advertisements, to an IM client device based on client-side behavior vectors collected from the IM client. Behavior vectors are information related to a software component, such as IM client messenger, client device, and a user of the client device, including, but not limited to core software, optional software, advertisements displayed, usage data, performance data, and client meta data.

Claims

1. A client device for managing software updates, the client device comprising:

a network interface for sending and receiving data over a computer network; and

a processor operable to execute instructions that perform the following actions;

collecting behavior vectors, including at least user behavior information, and client device information, at the client device;

sending the behavior vectors to a remote update service operable to selectively provide software updates for the client device based on the collected behavior vectors;

receiving at least one software update provided based on the collected behavior vectors, wherein the received software update is a subset from a set of identified updates for the client device; and

installing the received software updates on the client device.

2. The client device of claim 1, wherein the processor is operable to execute instructions that further perform the following actions:

receiving an advertisement selected based on the collected behavior vectors; and

displaying the received advertisement on the client device.

3. The client device of claim 1, wherein the processor is operable to execute instructions that further perform the following actions:

sending advertisement information collected at the client device to an advertisement service.

4. The client device of claim 1, wherein the behavior vectors include information about at least one of core software components, optional software components, advertisements, usage data, client device performance data, and client device meta data.

5. The client device of claim 1, wherein the behavior vectors are related to an IM system.

6. A server device for managing information download, the server device comprising:

a network interface for sending and receiving data over a computer network; and

a processor operable to execute instructions that perform the following actions;

receiving behavior vectors including user behavior information, and client device information, from a client device over the computer network;

applying information download rules to the behavior vectors to generate download suggestions; and

selectively providing, based on the generated download suggestions, information downloadable to the client device, the information downloadable to the client device including a subset of software updates identified for the client device.

7. The server device of claim 6, further comprising:

an update service component operable to receive the behavior vectors;

an ad service component operable to receive the behavior vectors and selectively provide advertisements for download to the client device; and

a data miner component for mining the behavior vectors to extract data patterns for use with the information download rules.

8. The server device of claim 6, wherein the behavior vectors include information about at least one of core software components, optional software components, advertisements, usage data, client device performance data, and client device meta data.

9. The server device of claim 6, wherein the behavior vectors include advertisements ruining on the client device.

10. The server device of claim 6, wherein the behavior vectors are associated with an IM system.

11. A method of information download, the method comprising:

receiving behavior vectors including user behavior information, and client device information, from a client device;

applying information download rules to the behavior vectors to generate download suggestions; and

selectively providing, based on the generated download suggestions, information downloadable to the client device, the information downloadable to the client device including a subset of software updates identified for the client device.

12. The method of claim 11, further comprising:

storing behavior vectors in a data warehouse;

mining the behavior vectors for data patterns; and

applying the download rules for the data patterns.

13. The method of claim 11, wherein the information downloadable to the client device includes advertisements.

14. The method of claim 11, wherein the software updates include less than all software updates available for download to the client device.

15. The method of claim 11, wherein a rules engine is used to apply information download rules for the behavior vectors.

16. A processor-readable storage medium having instructions encoded thereon that when executed cause the following actions to be performed:

collecting behavior vectors, including user behavior information and client device configuration and performance information, from a client device;

sending the behavior vectors to an update service operable to selectively provide software updates for the client device based on the collected behavior vectors;

receiving software updates provided based on the collected behavior vectors, wherein the received software updates include a subset of identified software updates for the client device; and

installing the received software updates on the client device.

17. The processor readable storage medium of claim 16, wherein the behavior vectors are associated with an IM system.

18. The processor readable storage medium of claim 16, wherein a rules engine is used to apply information download rules to the behavior vectors.

19. The processor readable storage medium of claim 16, wherein the behavior vectors include information about at least one of core software components, optional software components, advertisements, usage data, client device performance data, and client device meta data.

20. The processor readable storage medium of claim 16, wherein the behavior vectors are sent to a data store and are mined by a mining component to extract data patterns.