Readability and context identification and exploitation

• US 20070067294A1
• Filed: 09/18/2006
• Published: 03/22/2007
• Est. Priority Date: 09/21/2005
• Status: Abandoned Application

• Current Assignee: David Ward, Sabine Volkmer
• Original Assignee: David Ward, Sabine Volkmer
• Inventors: Ward, David, Volkmer, Sabine
• Application Number:
  US11/522,746
• Publication Number:
  US 20070067294A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation

Abstract

Search systems and methods address the subjective nature of the relevancy of matches to users'"'"' queries through the use of readability formulae. As a result, the documents are ranked by relevance not only to user queries, but specifically to the user. In one approach, the searchable web (or a searchable corpus of documents) is categorized on one or more servers. Each document is designated by reading level or other parameter(s) relevant to the user'"'"'s reading ability. In one embodiment, searching is carried out utilizing the user'"'"'s search query, and documents are ranked based on relevance to the query and on their degree of readability to the user—e.g., the degree to which the contents of each document correspond to the user'"'"'s reading level. Advertisement displays may be targeted to both the search tokens entered and the user'"'"'s age as determined from his reading level, rendering search-related advertisements significantly more effective in reaching their intended audiences.

Claims

1. A method of ranking a set of documents according to readability criteria pertaining to a user, the method comprising the steps of:

a. receiving criteria indicative of a user'"'"'s reading level;

b. receiving a user-supplied search query;

c. retrieving a list of documents relevant to the search query, the documents having contents;

d. analyzing the document contents against the received criteria; and

e. ranking the list of documents based at least in part on the analysis.

2. The method of claim 1 wherein the list of documents is ranked based on the analysis and relevance to the search query.

3. The method of claim 1 wherein steps (a) through (e) are performed at a client computer.

4. The method of claim 1 wherein steps (a) through (e) are performed at a server computer.

5. The method of claim 1 further comprising the steps of successively retrieving and analyzing at least a portion of each document.

6. The method of claim 2 wherein the ranking is based on a weight assigned to the analysis, the weight determining a degree to which the analysis influences ranking.

7. The method of claim 2 wherein documents having reading levels above the user'"'"'s reading level are excluded from the list.

8. The method of claim 2 wherein documents having reading levels below the user'"'"'s reading level are excluded from the list.

9. The method of claim 1 wherein the criteria comprise at least one of age or reading level.

10. The method of claim 1 wherein the user indicates a degree of reading difficulty using a graphical token and the criteria are derived therefrom.

11. The method of claim 10 wherein the graphical token is in the form of a slide switch, the slide switch having positions corresponding to different reading levels.

12. The method of claim 1 wherein the criteria are inferred from the user-supplied search query.

13. The method of claim 1 further comprising the step of providing the ranked list of documents to the user along with advertising selected, at least in part, based on the criteria.

14. The method of claim 13 wherein the list of documents is ranked based on the analysis and relevance to the search query.

15. The method of claim 14 wherein the client computer successively retrieves and analyzes at least a portion of each document in the list via a computer network.

16. The method of claim 13 wherein the criteria comprise at least one of age or reading level.

13-1. A method of searching a set of documents according to readability criteria pertaining to a user, the method comprising the steps of:

a. receiving, at a client computer, criteria indicative of a user'"'"'s reading level;

b. receiving, at the client computer, a user-supplied query; and

c. receiving, at the client computer, a list of documents relevant to the query and ranked based at least in part on the received criteria.

17. A method of targeting advertisements in conjunction with return of search results, the method comprising the steps of:

a. receiving criteria indicative of a user'"'"'s reading level;

b. receiving a user-supplied search query;

c. retrieving a list of documents relevant to the search query, the documents having contents; and

d. providing a list of documents to the user along with advertising selected, at least in part, based on the criteria.

18. The method of claim 17 wherein the criteria comprise at least one of age or reading level.

19. The method of claim 17 wherein the user indicates a degree of reading difficulty using a graphical token and the criteria are derived therefrom.

20. The method of claim 19 wherein the graphical token is in the form of a slide switch, the slide switch having positions corresponding to different reading levels.

21. The method of claim 17 wherein the criteria are inferred from the user-supplied search query.

22. A system for ranking a set of documents according to readability criteria pertaining to a user, the system comprising:

a. a module for determining a user'"'"'s reading level;

b. a search application for receiving a user-supplied search query and, based thereon, retrieving a list of documents relevant to the search query, the documents having contents; and

c. a module for analyzing the document contents against the received criteria and ranking the list of documents based at least in part on the analysis.

23. The system of claim 22 wherein the module ranks documents based on the analysis and relevance to the search query.

24. The system of claim 22 wherein the analysis module is configured to successively retrieve and analyze at least a portion of each document.

25. The system of claim 22 wherein the analysis module ranks documents based on a weight assigned to the analysis, the weight determining a degree to which the analysis influences ranking.

26. The system of claim 22 wherein the analysis module excludes from the list documents having reading levels above the user'"'"'s reading level.

27. The system of claim 22 wherein the analysis module excludes from the list documents having reading levels below the user'"'"'s reading level.

28. The system of claim 22 wherein the criteria comprise at least one of age or reading level.

29. The system of claim 22 wherein the analysis module infers the criteria from the user-supplied search query.

30. A system for targeting advertisements in conjunction with return of search results, the system comprising:

a. a module for determining a user'"'"'s reading level;

b. a search application for receiving a user-supplied search query and, based thereon, retrieving a list of documents relevant to the search query, the documents having contents; and

c. an analysis module for facilitating selection of advertising based, at least in part, on the analysis.

31. The system of claim 30 wherein the analysis module returns a web page including the list of documents and the advertising.

32. A computer-readable medium comprising executable instructions for ranking a set of documents according to readability criteria pertaining to a user, the medium comprising instructions for:

a. receiving criteria indicative of a user'"'"'s reading level;

b. receiving a user-supplied search query;

c. retrieving a list of documents relevant to the search query, the documents having contents;

d. analyzing the document contents against the received criteria; and

e. ranking the list of documents based at least in part on the analysis.