METHOD AND SYSTEM FOR DETERMINING RELEVANT MATCHES BASED ON ATTRIBUTES

• US 20090132345A1
• Filed: 10/08/2008
• Published: 05/21/2009
• Est. Priority Date: 02/13/2004
• Status: Abandoned Application

• Current Assignee: BD Metrics Incorporated
• Original Assignee: BD Metrics Incorporated
• Inventors: Tang, Lei, Mahoney, Don, MEYSSAMI, BAHRAM
• Application Number:
  US12/247,636
• Publication Number:
  US 20090132345A1
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0204 Market segmentation

Abstract

A method and system are disclosed for generating content relevant to at least one participant based on data associated with the at least one participant. Profile data and behavior data may be captured in a database for the at least one participant. A processor may be employed to determine matches between the at least one participant and information including products, services, companies, persons and/or other data based on a set of criteria defined from the profile and behavior data of the at least one participant and attributes associated with each item of information.

Claims

1. A method for generating content relevant to at least one participant based on data associated with the at least one participant, comprising:

capturing in a database profile data and behavior data associated with the at least one participant or a class containing the at least one participant; and

determining matches with a processor between the at least one participant and information including products, services, companies, persons and/or other data based on a set of criteria defined from the profile and behavior data of the at least one participant and attributes stored in a database associated with each item of information.

2. The method of claim 1, wherein the determining a match comprises:

scoring and prioritizing the matches.

3. The method of claim 2, further comprising:

filtering the matches based on the scoring and prioritizing.

4. The method of claim 1, wherein the information relates to companies and the method further comprising:

when the match is determined, establishing a connection, between the at least one participant and at least one of a plurality of companies.

5. The method of claim 1 wherein profile data is obtained from a meta-profile associated with the participant.

6. A system for generating content relevant to at least one participant based on data associated with the at least one participant, comprising:

at least one storage device to store profile data and behavior data associated with the at least one participant or a class containing the at least one participant and information including products, services, companies, persons and/or other data and attributes associated therewith; and

at least one processor to;

capture the profile data and behavior data in the at least one storage device, and

determine matches between the at least one participant and the information based on a set of criteria defined from the profile and behavior data of the at least one participant stored in the at least one storage device and the attributes stored in the at least one storage device.

7. The system of claim 6, wherein:

the at least one processor to also;

score and prioritize the matches.

8. The system of claim 7, wherein:

the at least one process to also;

filter the matches based on the scoring and prioritizing.

9. The system of claim 6, wherein:

the information relates to companies; and

the at least one processor to also;

establish a connection, between the at least one participant and at least one of a plurality of companies, when the match is determined.

10. A method for generating content relevant for at least one participant based on data associated with the at least one participant, comprising:

Receiving, in at least one processor, at least one query, the at least one query configured to include desired attributes and/or values of a target object;

the at least one processor accessing a database to obtain object definitions including the attributes and/or values;

matching, in the at least one processor, the at least one query and the obtained object definitions in order to identify matches, wherein the matching includes non-exact matching and/or integer matching and the target object and/or the obtained object definitions have one or more attribute values and a match is determined based at least in part on the number of value matches as compared to the total number of values;

the at least one processor allocating a score to each of the matches; and

the at least one processor ranking the matches based on the allocated scores.

11. The method of claim 10, wherein the objects relate to at least one of people, companies, products, sessions, and/or content.

12. The method of claim 10, wherein the database is updated at regular intervals with new information and/or changed information associated with the object definitions.

13. The method of claim 10, wherein the at least one processor is configured to refine the plurality of matches in order to return a result that is relevant to the request.

14. The method of claim 13, wherein the at least one processor determines non-exact matches employing hierarchical relations defined in a thesaurus.

15. The method of claim 10, further comprising:

the least one processor evaluating the at least one query; and

the at least one processor processing the request based on a type of attributes and/or values included in the at least one query.

16. The method of claim 10, wherein the non-exact matches are created via hierarchical attribute matching, continuous attribute matching and/or textual attribute matching that permits information to be loaded and cached in structures so that the match can be efficiently processed.

17. The method of claim 10, wherein each query value has an associated importance level used, at least in part, to determine a match.

18. The method of claim 16, wherein the hierarchical attribute matching uses a thesaurus to determine a hierarchical relationship of one attribute value to other attribute concepts/values.

19. The method of claim 18, wherein the thesaurus is updated at regular intervals with new concept/value information.

20. The method of claim 18, wherein the thesaurus dynamically queries relationships across, up and/or down a hierarchy associated with the hierarchical relationship.

21. The method of claim 18, wherein the hierarchical relationships are ranked using scoring methods in the hierarchical attribute matching.

22. The method of claim 18, wherein the hierarchical relationship comprises a type-of/instance-of relation which allows for inheritance between objects within hierarchies defined by a relation.

23. The method of claim 16, wherein the continuous attribute matching and/or textual attribute matching are initiated after relevant matches or objects are determined for discrete attributes and hierarchical attributes.

24. The method of claim 16, wherein the continuous attribute matching requires evaluating the database for continuous attributes to determine whether the continuous attributes match ranges of values provided in the at least one query.

25. The method of claim 16, wherein the continuous attribute matching and/or textual attribute matching uses a B-tree index to store and retrieve values associated with community identification, object identification and/or attribute identification.

26. The method of claim 16, wherein the text attribute matching requires evaluating text fields in order to calculate relevancy of parameters associated with the at least one query.

27. The method of claim 10, wherein the attributes of a target object associated with the at least one query are rated based on importance, causing a list of applicable objects to be returned for each of the attributes specified to be matched.

28. The method of claim 10, further comprising:

parsing the at least one query to create a list of query functions;

placing the query functions into a priority queue; and

evaluating each of the query functions sequentially in order to yield corresponding results associated with each query function; and

determining matches based on the results.

29. The method of claim 28, wherein the evaluating is configured to be based on a decreasing order of priority associated with the query functions.

30. The method of claim 28, wherein the results are consolidated with an intersection operation when an importance measure of the query function is determined to be of higher importance and the results are consolidated with a union operation when an importance measure is determined to be of lower importance.

31. The method of claim 30, wherein the ranking includes:

ranking the results in accordance with a score associated with the importance measures.

32. The method of claim 31, further comprising:

normalizing the ranked scores;

sorting the matches in accordance with the ranked scores; and

evaluating the sorted matches by enforcing additional query constraints, wherein the additional query constraints include at least one of a specified page requirement, minimum ranking score and/or a list of objects to exclude.

33. The method of claim 10, wherein the attributes and/or values of a target object include an importance measure, the importance measure being configured with a qualitative label having quantitative effect.

34. The method of claim 33, wherein the quantitative effect of the label is defined in a configuration file that is customized for each match, application and/or community.

60. The method of claim 10, wherein:

the at least one query is based on at least one meta-profile associated with the at least one participant, wherein the meta-profile is determined by information associated with at least one of job function and/or primary business of the at least one participant.

35. A system for generating content relevant to at least one participant based on data associated with the at least one participant, comprising:

a database to store object definitions of a plurality of target objects;

at least one processor to;

receive at least one query, the at least one query including desired attributes and/or values of a selected target object;

access the database to obtain the object definitions including the attributes and/or values;

match the at least one query and the obtained object definitions in order to identify matches, wherein the matching includes non-exact matching and/or integer matching wherein the target object and/or the obtained object definitions have one or more attribute values and a match is determined based at least in part on the number of value matches as compared to the total number of values;

allocate a score to each of the matches; and

rank the matches based on the allocated scores.

36. The system of claim 35, wherein the objects relate to at least one of people, companies, products, sessions, and/or content.

37. The system of claim 35, wherein the database is updated at regular intervals with new information and/or changed information associated with the object definitions.

38. The system of claim 35, wherein the at least one processor is configured to refine the plurality of matches in order to return a result that is relevant to the request.

39. The system of claim 38, wherein the at least one processor determines non-exact matches employing hierarchical relations defined in a thesaurus.

40. The system of claim 35, wherein:

the at least one processor also;

evaluates the at least one query; and

processes the request based on a type of attributes and/or values included in the at least one query.

41. The system of claim 35, wherein the non-exact matches are created via hierarchical attribute matching, continuous attribute matching and/or textual attribute matching that permits information to be loaded and cached in structures so that the match can be efficiently processed.

42. The system of claim 35, wherein each query value has an associated importance level used, at least in part, to determine a match.

43. The system of claim 41, wherein the hierarchical attribute matching uses a thesaurus to determine a hierarchical relationship of one attribute value to other attribute concepts/values.

44. The system of claim 43, wherein the thesaurus is updated at regular intervals with new concept/value information.

45. The system of claim 43, wherein the thesaurus dynamically queries relationships across, up and/or down a hierarchy associated with the hierarchical relationship.

46. The system of claim 43, wherein the hierarchical relationship comprises a type-of/instance-of relation which allows for inheritance between objects within hierarchies defined by a relation.

47. The system of claim 41, wherein the continuous attribute matching and/or textual attribute matching are initiated after relevant matches and/or objects are determined for discrete attributes and hierarchical attributes.

48. The system of claim 41, wherein the continuous attribute matching requires evaluating the database for continuous attributes to determine whether the continuous attributes match ranges of values provided in the at least one query.

49. The system of claim 41, wherein the continuous attribute matching and/or textual attribute matching uses a B-tree index to store and retrieve values associated with community ID, object ID and/or attribute ID.

50. The system of claim 41, wherein the text attribute matching requires evaluating text fields in order to calculate relevancy of parameters associated with the at least one query.

51. The system of claim 35, wherein the attributes of a target object are rated based on importance that causes a list of applicable objects to be returned for each of the attributes specified to be matched.

52. The system of claim 35, wherein:

the at least one processor is configured to also;

parse the at least one query to create a list of query functions,

place the query functions into a priority queue,

evaluate each of the query functions sequentially in order to yield corresponding results associated with each query function, and

determine matches based on the results.

53. The system of claim 52, wherein the at least one processor is configured to evaluate each of the query functions based on a decreasing order of priority of the query functions.

54. The system of claim 52, wherein the results are consolidated with an intersection operation when an importance measure of the query function is determined to be of higher importance and the results are consolidated with a union operation when an importance measure is determined to be of lower importance.

55. The system of claim 54, wherein:

the at least one processor ranks the matches by;

ranking the results in accordance with a score associated with the importance measure.

56. The system of claim 55, wherein:

the at least one processor is configured to;

normalize the ranked scores;

sort the matches in accordance with the ranked scores; and

evaluate the sorted matches by enforcing additional query constraints, wherein the additional query constraints includes at least one of a page requirement, minimum ranking score and/or a list of objects to exclude.

57. The system of claim 35, wherein the attributes and/or values of the target object include an importance measure, the importance measure being configured with a qualitative label having quantitative effect.

58. The system of claim 57, wherein the quantitative effect of the label is defined in a configuration file that is customized for each match, application and/or community.

59. The system of claim 35, wherein:

the query is based on at least one meta-profile associated with the at least one participant, wherein the meta-profile is determined by information associated with at least one of job function and/or primary business of the at least one participant.