Automated categorization, placement, search and retrieval of user-contributed items

• US 20020120619A1
• Filed: 09/17/2001
• Published: 08/29/2002
• Est. Priority Date: 11/26/1999
• Status: Abandoned Application

• Current Assignee: High Regard Incorporated
• Original Assignee: High Regard Incorporated
• Inventors: Marso, Larry S., Litzinger, Brian E.
• Application Number:
  US09/956,585
• Publication Number:
  US 20020120619A1
• Time in Patent Office: Days
• US Class Current: 707/3
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04L 69/329 in the application layer [OSI layer 7]
• CPC Class Codes: H04L 9/40 Network security protocols

Abstract

A method for computerized interactive search and retrieval of content items, in which contributed content items are separated into discrete classifications, provided to users, evaluated by certain users, and assigned a quality rating based on weightings of the evaluations.

Claims

1. ) A method of providing interactive search and retrieval of content items disseminated over a computer network, comprising the steps of:

(a) receiving a plurality of content items provided by users of computers;

(b) separating the plurality of content items into a plurality of discrete classifications, in accordance with pre-established criteria;

(c) receiving at least one word from a first user of a computer;

(d) associating the at least one word with at least one classification of the plurality of discrete classifications, in accordance with pre-established criteria;

(e) disseminating to the first user at least one content item drawn from the at least one classification with which the at least one word has been associated.

(f) receiving evaluations of the at least one content item from certain ones of the users.

(g) assigning a quality rating to the at least one content item based on weightings of the evaluations.

2. ) The method of claim 1, wherein separating the plurality of content items is performed in accordance with at least one of word usage, word frequency, concept usage, and concept frequency.

3. ) The method of claim 2, wherein associating the at least one word is performed in accordance with at least one of common words, word usage, word frequency, common concepts, concept usage, and concept frequency.

4. ) The method of claim 3, wherein the associating the at least one word includes comparing the strength of a first association between the at least one word with a first discrete classification and a second association between the at least one word and another discrete classification.

5. ) The method of claim 4, wherein disseminating is based upon the quality of at least one content item, and the degree of association between the at least one word and a classification associated with at least one content item.

6. ) The method of claim 5, wherein quality is based upon at least one of the individual expertise of a user from whom a content item is considered and weighted ratings of the content item provided by other users.

7. ) The method of claim 5, further comprising:

(a) categorizing relative degrees of quality into a plurality of segments, and separating the plurality of content items according to such segments, in accordance with previously received evaluations,

(b) calculating relative degrees of association between the at least one word and each of a plurality of content classifications established in accordance with other pre-existing criteria,

(c) balancing the relative degree of association between the at least one word and each content classification, and the average quality of each of the plurality of quality segments, to assign a value to each pairing of a content classification and quality segment, and

(d) evaluating certain items according to their separation into content classifications and into quality segments, in an order based on the value assigned to each pairing of a content classification and a quality segment.

8. ) The method of claim 5, wherein content items are disseminated to an individual user also in accordance with the relative strength of the association between a word or series of words received from an individual user, on the one hand, and each individual content item, on the other.

9. ) The method of claim 8, wherein the relative strength of the association between a word or series of words received from an individual user, on the one hand, and each individual content item, on the other hand, is in accordance with measurements of common words or word usage or word frequency, or common concepts, concept usage or concept frequency.

10. ) The method of claim 1, wherein the associating the at least one word includes comparing the strength of a first association between the at least one word with a first discrete classification and a second association between the at least one word and another discrete classification.

11. ) The method of claim 10, wherein the separation of content into a plurality of discrete classifications excludes items below a certain level of quality from any classification.

12. ) The method of claim 10, wherein the evaluation provided by a first individual user is weighted to reflect an individual expertise rating of the first individual user.

13. ) The method of claim 12, wherein the individual expertise of the first individual is based on weighted evaluations by other individual users of at least one of the content items or evaluations provided by the first individual user.

14. ) The method of claim 10, wherein content items are disseminated to an individual user in accordance with the quality of each item and the relative strength of the association between a word or series of words received from such user and the classification of such item.

15. ) The method of claim 14, wherein the evaluation provided by a first individual user is weighted to reflect an individual expertise rating of the first individual user.

16. ) The method of claim 15, wherein the individual expertise of the first individual is based on weighted evaluations by other individual users of at least one of the content items or evaluations provided by the first individual user.

17. ) The method of claim 14, wherein the separation of content into a plurality of discrete classifications excludes items below a certain level of quality from any classification.

18. ) The method of claim 14, wherein content items are disseminated to an individual user also in accordance with the relative strength of the association between a word or series of words received from an individual user, on the one hand, and each individual content item, on the other.

19. ) The method of claim 18, wherein the relative strength of the association between a word or series of words received from an individual user, on the one hand, and each individual content item, on the other hand, is in accordance with measurements of common words or word usage or word frequency, or common concepts, concept usage or concept frequency.

20. ) The method of claim 18, wherein the evaluation provided by a first individual user is weighted to reflect an individual expertise rating of the first individual user.

21. ) The method of claim 20, wherein the individual expertise of the first individual is based on weighted evaluations by other individual users of at least one of the content items or evaluations provided by the first individual user.

22. ) The method of claim 1, wherein the separation of content into a plurality of discrete classifications excludes items below a certain level of quality from any classification.

23. ) The method of claim 22, wherein the evaluation provided by a first individual user is weighted to reflect an individual expertise rating of the first individual user.

24. ) The method of claim 23, wherein the individual expertise of the first individual is based on weighted evaluations by other individual users of at least one of the content items or evaluations provided by the first individual user.

25. ) The method of claim 1, wherein the evaluation provided by a first individual user is weighted to reflect an individual expertise rating of the first individual user.

26. ) The method of claim 25, wherein the individual expertise of the first individual is based on weighted evaluations by other individual users of at least one of the content items or evaluations provided by the first individual user.

27. ) The method of claim 6, wherein the individual expertise of the user from whom a content item is considered as a direct measure of the quality of such item, alone or in addition to weighted ratings of the item provided by other users.

28. ) The method of claim 6, wherein measurements of quality and the relative strength of associations are calculated for pre-established segments of quality and content classifications, with such calculations defining the order by which individual items in such segments are evaluated.