System and method for finding relative score and enhancing one or more scores associated with data objects

• US 9,047,611 B2
• Filed: 01/25/2010
• Issued: 06/02/2015
• Est. Priority Date: 01/25/2010
• Status: Expired due to Fees

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Yahoo! Inc. (Apollo Global Management, Inc.)
• Inventors: Krishnamoorthy, Prabhakaran, Sen, Uday Sankar
• Primary Examiner(s): VINCENT, DAVID ROBERT
• Application Number:
  US12/693,248
• Publication Number:
  US 20110184958A1
• Time in Patent Office: 1,954 Days
• Field of Search: 706/12, 706/45, 706/62, 705/5, 705/7.14
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/063112 Skill-based matching of a person or a group to a task
• CPC Class Codes: G06Q 10/1053 Employment or hiring
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0282 Rating or review of business operators or products
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

Methods, systems and computer program products are provided for computing relative score and enhancing one or more scores associated with data objects. In one method, the method receives, at a computing system, one or more data objects from a user. The method further extracts one or more internal and external parameters based on the one or more data objects. Subsequently, the method compares data objects of the user with corresponding data objects of one or more competing users, based at least in part on the one or more extracted parameters and the requirement included in the data object of the user. Further, in some embodiments, the data objects and requirements of the user are also compared with the corresponding data objects and requirements of one or more complementary users, based at least in part on the one or more extracted parameters. The method further computes one or more scores associated with the data objects based at least in part on the at least one of the comparison of the one or more data objects of the user with the corresponding data objects of one or more competing users and/or the one or more extracted parameters. The method may also provide feedback to the user, where the feedback is directed to enhance the one or more computed scores associated with the data objects.

Claims

1. A method comprising:

receiving, at a computing device over a network, a data object from a user, the data object including a requirement associated with the user;

extracting, via the computing device, one or more internal parameters from the data object, said extraction of the one or more internal parameters comprising converting the data object from an unstructured format to a structured format and extracting at least one updated attribute of the data object which is essential to the data object;

extracting, via the computing device, one or more external parameters from a remote domain that contains information related to the data object, said extraction is based at least in part on the conversion of the format of the data object, said external parameters comprising at last one social parameter that directly or indirectly and positively or negatively impacts the data object;

comparing, via the computing device, the data object of the user with a corresponding data object of a competing user based, at least in part, on the extracted internal and external parameters and the requirement included in the data object of the user;

computing, via the computing device, a score associated with the data object of the user based, at least in part, on the comparison of the data object of the user with the corresponding data object of the competing user and the extracted internal and external parameters, the score is indicative of a likelihood of achieving the requirement included in the data object; and

communicating, over the network, feedback to the user directed to enhancing the computed score.

2. The method of claim 1, wherein the data object of the competing user includes a requirement, and/or information associated with the competing users.

3. The method of claim 1, wherein the score is computed based, at least in part, on a comparison of the data object and requirement of the user with a corresponding data object and requirement of a complementary user, wherein a complementary user provides services and/or products to satisfy the requirement included in the data object of the user.

4. The method of claim 1, wherein the internal parameters are extracted via a processor executing in association with the computing device.

5. The method of claim 1, wherein extracting the internal parameters further comprises updating the internal parameters after a pre-defined period of time.

6. The method of claim 1, wherein the external parameters are selected from a group consisting of political parameters, socio-political parameters, environmental parameters, locational parameters, economic parameters, statistical comparative parameters, and skill parameters.

7. The method of claim 1, wherein the one or more extracted parameters include historical parameters associated with the data object.

8. The method of claim 1, wherein the one or more extracted parameters include one or more recommendations associated with the data object.

9. The method of claim 1, wherein the score includes at least one of an absolute score or a relative score.

10. The method of claim 9, wherein the relative score is computed based on one or more of the internal parameters, external parameters and the comparison data.

11. The method of claim 9, wherein the absolute score is computed based on a comparison between the requirement of the user and the one or more services and/or products corresponding to the complimentary user.

12. The method of claim 11, wherein one or more available services and/or products include recruiting services, online buying or selling of products and/or services.

13. The method of claim 1 further comprises providing a gross score, wherein the gross score is the summation of a plurality of computed scores.

14. The method of claim 1, wherein the feedback is based, at least in part, on one or more of the extracted parameters.

15. The method of claim 1, wherein the feedback comprises providing an option to modify the data object to enhance the computed score.

16. The method of claim 1 further comprises receiving, from the user, a modified data object.

17. The method of claim 16 further comprises re-computing the score based on the modified data object.

18. A system comprising:

a processor;

a non-transitory computer-readable storage medium for tangibly storing thereon program logic for execution by the processor, the program logic comprising;

receiving logic executed by the processor for receiving a data object from a user, the data object including a requirement associated with the user;

extracting logic executed by the processor for extracting one or more internal parameters from the data object, said extraction of the one or more internal parameters comprising converting the data object from an unstructured format to a structured format and extracting at least one updated attribute of the data object which is essential to the data object;

extracting logic executed by the processor for extracting one or more external parameters from a remote domain that contains information related to the data object, said extraction is based at least in part on the conversion of the format of the data object, said external parameters comprising at least one social parameter that directly or indirectly and positively or negatively impacts the data object;

comparison logic executed by the processor for comparing the data object of the user with a corresponding data object of a competing user based, at least in part, on the extracted internal and external parameters and the requirement included in the data object of the user;

computation logic executed by the processor for computing a score associated with the data object of the user based, at least in part, on the comparison of the data object of the user with the corresponding data object of the competing user and the extracted internal and external parameters, the score is indicative of a likelihood of achieving the requirement included in the data object; and

communication logic executed by the processor for communicating feedback over a network to the user directed to enhancing the computed score.

19. A non-transitory computer-readable storage medium tangibly encoded with computer program code which, when executed by a computing device, causes the computing device to perform a method comprising:

receiving a data object from a user, the data object including a requirement associated with the user;

extracting one or more internal parameters from the data object, said extraction of the one or more internal parameters comprising converting the data object from an unstructured format to a structured format and extracting at least one updated attribute of the data object which is essential to the data object;

extracting one or more external parameters from a remote domain that contains information related to the data object, said extraction is based at least in part on the conversion of the format of the data object, said external parameters comprising at least one social parameter that directly or indirectly and positively or negatively impacts the data object;

comparing the data object of the user with a corresponding data object of a competing user based, at least in part, on the extracted internal and external parameters and the requirement included in the data object of the user;

computing a score associated with the data object of the user based, at least in part, on the comparison of the data object of the user with the corresponding data object of the competing user and the extracted internal and external parameters, the score is indicative of a likelihood of achieving the requirement included in the data object; and

communicating feedback over a network to the user directed to enhancing computed score.