Computer network search engine

• US 20050144158A1
• Filed: 11/18/2004
• Published: 06/30/2005
• Est. Priority Date: 11/18/2003
• Status: Abandoned Application

• Current Assignee: Mooter Pty Ltd.
• Original Assignee: Mooter Pty Ltd.
• Inventors: Capper, Liesl Jane, Henry 2 Gibb, Jondarr Colin George
• Application Number:
  US10/991,819
• Publication Number:
  US 20050144158A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/338 Presentation of query results
• CPC Class Codes: G06F 16/355 Class or cluster creation or modification
• CPC Class Codes: G06F 16/358 Browsing; Visualisation therefor
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/954 Navigation, e.g. using categorised browsing

Abstract

A computer network search engine is disclosed in which search results are analyzed to identify one or more themes, and individual results are clustered according to one or more of the themes. In one aspect the user may be presented with a graphical representation of one or more cluster of results. In another aspect the search results are presented in the cluster according to a ranked list, and wherein the ranked list may be modified according to attributes of a selected search result and/or dynamically altered according to observations of the user examining the results.

Claims

1. A method of searching a plurality of electronically accessible records, said method comprising the steps of:

receiving a search query from an originator thereof;

searching said electronically accessible records using said query to identify a set of results at least indicating those ones of said records that incorporate at least one component of said search query;

analysing said records of said set to identify one or more themes underlying content of each of said records;

establishing clusters of said results, each said cluster relating a one of said identified themes with each said result being ascribed to at least one of said clusters; and

presenting the search to the originator by displaying a graphical representation of a limited number of said clusters.

2. A method according to claim 1 wherein said graphical presentation comprises an arrangement of selectable icons within a graphical user interface, each said icon representing a corresponding one of said clusters and being associated with an identifier for the corresponding said theme.

3. A method according to claim 2 wherein said graphical representation comprises a centrally located non-selectable representation of said search query and a limited plurality of said icons surrounding said central representation.

4. A method according to claim 3 wherein each said surrounding icon is associated with a graphically represented link to said central presentation.

5. A method according to claim 4 wherein said graphical presentation comprises a starburst representation.

21. A computer readable medium having a computer program recorded thereon, said computer program including code adapted to perform the method of claims 1.

6. A method for presenting search results associated with a query of a plurality of electronically accessible documents;

said method comprising the steps of;

(a) analysing said search results of said set to identify one or more themes underlying content of each of said records;

(b) establishing clusters of said results, each said cluster relating a one of said identified themes with each said result being ascribed to at least one of said clusters;

(c) presenting said search results associated with at least one said cluster to a user in a first ranked order of relevance and detecting a selection of one said presented search result by the user;

(d) modifying the presented ranked order of relevance of at least said one cluster according to attributes of said one selected search result; and

(e) repeating steps (c) and (d) as a consequence of each selection of a further one of said presented search results.

7. A method according to claim 6 wherein step (d) further comprises maintaining a score value associated with each said result and updating said score value for each result in a corresponding cluster from which the presented search result was selected.

8. A method according to claim 7 wherein step (d) further comprises updating the score value for said selected presented search result in each cluster said search result is present.

9. A method according to claim 8 wherein step (d) further comprises updating a score value of each search result in each said cluster in which said selected search result is present.

10. A method according to claim 8 wherein the updating of said score value is weighted in favour of said selected search result compared to other ones of said search results in the corresponding said cluster.

11. A method according to claim 9 wherein:

the updating of said score value is weighted in favour of said selected search result compared to other ones of said search results in the corresponding said cluster; and

said weighted updating is done in favour of said selected search result compared to other ones of said search results across all said clusters.

12. A method according to claim 6 wherein said attribute includes an averaged score value associated with said one search result as spread amongst said clusters.

13. A method for presenting search results associated with a query of a plurality of electronically accessible documents;

said method comprising the steps of;

(a) presenting said search results to a user in a first ranked order of relevance related to said query;

(b) detecting a selection of one said presented search result by the user;

(c) determining from the selection of said one search result a relevance measure of said one search result compared to others of said search results

(d) modifying the presented ranked order of relevance of said search results according to said relevance measure; and

(e) repeating steps (c) and (d) as a consequence of each selection of a further one of said presented search results.

14. A method according to claim 13 wherein step (d) further comprises maintaining a score value associated with each said result and updating said score value for each result.

15. A method of searching a plurality of electronically accessible records, said method comprising the steps of:

(a) receiving a search query from an originator thereof;

(b) searching said electronically accessible records using said query to identify a set of results at least indicating those ones of said records that incorporate at least one component of said search query;

(c) analysing said search results of said set to identify one or more themes underlying content of each of said records;

(d) establishing clusters of said results, each said cluster relating a one of said identified themes with each said result being ascribed to at least one of said clusters;

(e) presenting the search to the originator by displaying a graphical representation of a limited number of said clusters;

(f) detecting a selection of one of said clusters and presenting said search results associated with said one cluster to the originator in a first ranked order of relevance;

(g) detecting a selection of one said presented search result by the originator;

(h) modifying the presented ranked order of relevance of at least said one cluster according to attributes of said one selected search result; and

(i) repeating steps (g) and (h) as a consequence of each selection of a further one of said presented search results.

16. A method by which additional content, including, but not restricted to, paid listings, directory entries, and direct content of web pages, is incorporated into a display of clustered search results, based on themes common to the user'"'"'s selections.

17. A method of searching a plurality of electronically accessible records, said method comprising the steps of:

analysing themes within content returned by a ranked search result;

observing a behavior of a user when examining said search result;

extrapolating information from the observed behavior; and

dynamically ranking the search result according to said information.

18. A method according to claim 18 wherein said analysing comprises clustering said search results and identifying themes within each said cluster, said observing comprises recording a user'"'"'s access to an individual one of said search results, and said extrapolating comprises dynamically amplifying said user'"'"'s actions by ascribing a relevance measure to each said search result, and said dynamic ranking comprises re-ranking the search result according to the corresponding relevance measure.

19. A method according to claim 18 further comprising incorporating additional content into a display of said ranked search results, based on themes common to the user'"'"'s selections.

20. A method according to claim 19 wherein said additional content includes at least one of paid listings, directory entries, and direct content of web pages.

22. A method of improving a user'"'"'s online information searching capabilities whilst utilizing a computer interface for information searching, the method including the steps of:

(a) providing the user with an interface for information searching;

(b) monitoring a user'"'"'s utilization of the interface;

(c) classifying the sophistication of the monitored behavior in accordance with a series of criteria;

(d) utilizing said classification to alter the characteristics of information provision to the user of said interface.

23. A method as claimed in claim 22 wherein said interface clusters information of relevance to a search and said alteration comprises altering the relevance of clusters in accordance with the classification.

24. A method as claimed in claim 22 wherein said interface clusters information of relevance to a search and said classification is correlated with the user'"'"'s interaction with said clusters.

25. A method as claimed in claim 22 wherein said classification is correlated with the perceived sophistication of interrogation of said interface.

26. A method as claimed in claim 22 wherein said classification is correlated with a perceived personality type of said user.

27. A method as claimed in claim 23 wherein said perceived personality type is derived from the user'"'"'s interaction with the interface.

28. A method as claimed in claim 27 wherein said derivation includes a factor of whether the user'"'"'s interaction includes Boolean operators.