Adaptive search engine

• US 20060026147A1
• Filed: 08/02/2005
• Published: 02/02/2006
• Est. Priority Date: 07/30/2004
• Status: Abandoned Application

• Current Assignee: Eurekster, Inc.
• Original Assignee: Eurekster, Inc.
• Inventors: Franklin, Gary Lee, Cone, Julian Malcolm, Ryan, Grant James, Stalker, William Ferguson
• Application Number:
  US11/195,225
• Publication Number:
  US 20060026147A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9536 Search customisation based on social or collaborative filtering
• CPC Class Codes: G06F 16/9538 Presentation of query results

Abstract

An adaptive search engine (1) having a plurality of data items (4) from one or more data sources (5) stored in at least one database searchable by a search query (6) of a least one keyword (7) to produce a corresponding ranked search result listing (8) of data items (4), said search engine having a plurality of selectable filters (9) applicable by the search engine and/or the user to filter at least a portion (10) of the data items (4) of the search result listing (8), characterised in that said search engine records an association between a filter (9) applied to a search query (6) and a data item (4) selected by a user from said filtered portion (10) of the corresponding search result listing (8), wherein each recorded association contributes to the weighting given by the search engine (1) to application of said filter (9) in a subsequent search for at least one keyword (7) of said search query (6).

Claims

1. An adaptive search engine having a plurality of data items from one or more data sources stored in at least one database searchable by a search query of at least one keyword to produce a corresponding ranked search result listing of data items, said search engine having a plurality of selectable filters applicable by the search engine and/or the user to filter at least a portion of the data items of the search result listing,

characterised in that

said search engine records an association between a filter applied to a search query and a data item selected by a user from said filtered portion of the corresponding search result listing, wherein each recorded association contributes to the weighting given by the search engine to application of said filter in a subsequent search for at least one keyword of said search query.

2. An adaptive search engine as claimed in claim 1, wherein said filters include at least one of:

one or more said data sources;

Keyword filters;

user submissions—

including user comments, answers to questions, chat-room threads, blog inputs and the like, news, picture);

search groups;

human editorial control/moderator;

user-behaviour analysis;

Keyword suggestions;

Website filter;

Domain filters;

Link analysis filters;

Category filters;

Class of query (ranked according to whether or not the search query had been performed previously and if so, on search success);

Advanced rule-based learning adaptations of other filters;

Data item creation or update date;

User'"'"'s geographic location;

Language;

File format, frequency of spidering web-pages; and

/or Mature Content filter.

3. An adaptive search engine as claimed in claim 1, configured such that said search engine classifies selection of a data item as being relevant when the user performs at least one action in association with the selected data item to meet at least one predetermined relevancy criteria.

4. An adaptive search engine as claimed in claim 1, configured such that the search engine reduces the ranking of a selected data item when the user does not perform at least one action in association with the selected data item to meet at least one predetermined relevancy criteria, said selected data item being classified as irrelevant.

5. An adaptive search engine as claimed in claim 4, configured such that said predetermined relevancy criteria includes at least one of:

whether the user accesses a data item for longer than a predetermined period,

accessing further data items directly from the first selected data item, submitting, and/or

downloading data to/from the data item.

6. An adaptive search engine as claimed in claim 1, configured such that an increase or decrease by the search engine in said weighting of the application of a filter includes a commensurate increase or decrease in:

the proportional volume of said filtered portion results; and

/or

the ranking of the filtered portion results; and

/or

the number and/or ranking of results obtained from a given data source.

7. An adaptive search engine as claimed in claim 1, wherein said data sources include websites, domain names and categories, personal contact networks, news groups, search groups, third-party search engines including category-specific search engines, geographical regions, blog sites, intranets, LAN and WAN networks, and/or any other form of searchable source of data.

8. An adaptive search engine as claimed in claim 2, wherein said search groups are a category-specific group of users weighting their search results listings from the effects of their combined search results, search result ranking, filters, and/or data sources derived from the search group members.

9. An adaptive search engine as claimed in claim 8, configured such that said category is user-definable.

10. An adaptive search engine as claimed in claim 2, configured such that a search group is capable of displaying to its members one or more suggestions listings compiled from searches or sites obtained from the direct or indirect recommendations of the group members, said suggestions listings including;

recent searches denoting the most recent keywords or search result listings associated with the keywords used by the user contacts;

popular websites denoting a ranking of websites most regularly visited by, and/or recommended by the user contacts;

popular searches denoting a ranking of the most popular keywords or search results associated with the keywords used by the user contacts;

high-flying searches denoting a list of keywords or search result listings associated with the keywords ranked according to their rate of increase in the popular searches ranking; and

high-flying websites denoting a list of websites ranked according to their rate of increase in the popular websites ranking.

11. An adaptive search engine as claimed in claim 8, wherein a user may utilize, or become a member of, a search group for a given category by at least one of:

actively selecting said search group;

selecting an external data source from a corresponding category-specific third-party search engine or website;

accessing a search box from a corresponding category-specific website; and

selecting a link from the results listings to the same search query performed by a specified search group.

12. An adaptive search engine as claimed in claim 11, configured such that a user accessing a search box from a category specific website for a predetermined threshold number of occurrences is automatically made a member of a search group corresponding to said category.

13. An adaptive search engine as claimed in claim 1, configured such that a user selecting a predetermined threshold number results from a search results listing which would have an altered ranking in searches for the same keywords performed by a given search group is automatically made a member of said given search group.

14. An adaptive search engine as claimed in claim 2, configured such that for a user performing a search query without actively specifying any filter, said search engine checks the search query keywords against at least some of the search groups linked with the user for any re-ranked results for said search query for incorporation in the search results listing.

15. An adaptive search engine as claimed in claim 2, configured such that the initial or default filters are selectable by the user, or by a search group or search engine moderator, and/or inferred from settings specified external to the search engine.

16. An adaptive search engine as claimed in claim 2, configured such that a user'"'"'s search history is comparable with other users to identify corresponding search history or patterns.

17. An adaptive search engine as claimed in claim 16, configured such that identification of corresponding patterns of search activities generates a membership or offer of membership to the user for search groups associated with users with said corresponding search activities.

18. An adaptive search engine as claimed in claim 1, configured such that initial filters applied by the search engine are selected according to one or more context indicators.

19. An adaptive search engine as claimed in claim 1, configured such that initial selection of said filter is either user-selected or calculated from one or more predetermined relationships incorporating at least one context indicator related to characteristics of the user, the filter, and/or both.

20. An adaptive search engine as claimed in claim 1, wherein context indicators include at least one of any definable and recordable facet or characteristic of a filter selected by a user and/or a user'"'"'s interests, contact details, personal or bibliographic details, personal contacts network, previous search history, web-surfing history, cookie information, occupation, membership or use of search groups, information shared as part of trusted private personal networks, geographical location, language, domain name type, and data voluntarily inputted by the user into the search engine.

21. An adaptive search engine as claimed in claim 1, wherein the context indicators are at least partially determined by recording information relating to:

the user,

the search query,

any filters applied to refine the search; and

/or

the effects of the filters on the quality of the subsequent results.

22. An adaptive search engine as claimed in claim 8, wherein search groups are configurable as either public or private, whereby temporary utilisation of, or membership of said search groups is either open to any user or by invitation from existing search group members respectively.

23. An adaptive search engine as claimed in claim 22, wherein a search group is configurable such that the search results may be influenced by, and/or, filters may be modified by:

any search group member,

by a search group moderator, or

any member with consensus from other search group members.

24. An adaptive search engine as claimed in claim 1, configured such that derived filters are obtainable from any property or characteristic in addition to the search query keywords common to two or more data items in the search results listings.

25. An adaptive search engine as claimed in claim 2, configured such that a listing of preferred data sources for a search group is complied from data sources contributing search results accessed by the search group users more than a predetermined threshold number of occurrences, and a listing of “

irrelevant”

data sources for a search group is complied from data sources contributing search results accessed by users less than a predetermined threshold number of occurrences.

26. An adaptive search engine as claimed in claim 25, configured such that said preferred data sources listing and/or irrelevant data source listing are displayable to search group members.

27. An adaptive search engine as claimed in claim 25, configured such that said preferred data sources increase the weighting given by the search engine to application of said preferred data sources as a derived filter in subsequent searches by the search group.

28. An adaptive search engine as claimed in claim 26, configured such that said irrelevant data sources decreases the weighting given by the search engine to application of said irrelevant data sources as a derived filter in subsequent searches by the search group.

29. An adaptive search engine as claimed in claim 25, configured such that said derived filters are only obtainable from relevant data items selected by the user.

30. An adaptive search engine as claimed in claim 25, configured such that the list of preferred data sources for a given search query is supplementable by data sources providing relevant selections for said given search query performed for other search groups and/or non-search group general searches.

31. An adaptive search engine as claimed in claim 30, configured such that said supplemented data sources are displayed to the user as suggestions listings, and/or used to contribute at least a proportion of the search result listing to said given search group.

32. An adaptive search engine as claimed in claim 1, configured such that said filters are at least partially determined by one or more context indicator(s) associated with the search query, the user, and/or the results.

33. An adaptive search engine as claimed in claim 1, configured such that said search result listing is ranked by one of more filters applied by the search engine, one or more search groups and/or the user.

34. An adaptive search engine as claimed in claim 1, configured such that users can promote at least one of:

data items, data sources, and/or filters by submission to the search engine.

35. An adaptive search engine as claimed in claim 34, configured such that said submission is visible to all the users or only to members of specific search groups.

36. An adaptive search engine as claimed in claim 2, configured such that the search results and associated results re-rankings of two or more search groups may be combined.

37. An adaptive search engine as claimed in claim 1, configured such that an interface with the search engine is spontaneously generated on the user'"'"'s display screen according to a trigger related to at least one of:

an occurrence of a predetermined context indicator, a user'"'"'s surfing activity during the current session, and the domain name currently accessed by the user.

38. An adaptive search engine as claimed in claim 1, configured such that said search engine is accessible by a downloadable desktop application programme for installation on a client-side data input device provided by the search engine or an affiliated partner of the search engine.

39. An adaptive search engine as claimed in claim 38, configured such that said desktop application is capable of operating concurrently while the user is accessing an internet-linked document or email.

40. An adaptive search engine as claimed in claim 1, including:

at least one host computer processor connectable to one or more network(s),

a database accessible over said network(s), and

a plurality of data input devices connectable to said network(s).

41. A method of performing searches using an adaptive search engine having a plurality of data items from one or more data sources stored in at least one database searchable by a search query of a least one keyword to produce a corresponding ranked search result listing of data items, said search engine having a plurality of selectable filters applicable by the search engine and/or the user to filter at least a portion of the data items of the search result listing,

characterised in that

said search engine records an association between a filter applied to a search query and a data item selected by a user from said filtered portion of the corresponding search result listing, wherein each recorded association contributes to the weighting given by the search engine to application of said filter in a subsequent search for at least one keyword of said search query.

42. A method as claimed in claim 41, wherein said filters include, but are not limited to:

one or more said data sources;

Keyword filters;

user submissions—

including user comments, answers to questions, chat-room threads, blog inputs and the like, news, picture);

search groups;

human editorial control/moderator;

user-behaviour analysis;

Keyword suggestions;

Website filter;

Domain filters;

Link analysis filters;

Category filters;

Class of query (ranked according to whether or not the search query had been performed previously and if so, on search success);

Advanced rule-based learning adaptations of other filters;

Data item creation or update date;

User'"'"'s geographic location;

Language;

File format, frequency of spidering web-pages; and

/or Mature Content filter.

43. A method as claimed in claim 41, wherein said search engine classifies a selection of a data item as being relevant when the user performs at least one action in association with the selected data item to meet at least one predetermined relevancy criteria.

44. A method as claimed in claim 41, wherein the search engine reduces the ranking of a selected data item when the user does not perform at least one action in association with the selected data item to meet at least one predetermined relevancy criteria, said selected data item being classified as irrelevant.

45. A method as claimed in claim 44, wherein said predetermined relevancy criteria includes at least one of:

whether the user accesses a data item for longer than a predetermined period,

accessing further data items directly from the first selected data item, submitting, and/or

downloading data to/from the data item.

46. A method as claimed in claim 41, wherein an increase or decrease in said weighting of the application of a filter includes a commensurate increase or decrease in:

the proportional volume of said filtered portion results; and

/or

the ranking of the filtered portion results; and

/or

the number and/or ranking of results obtained from a given data source.

47. A method as claimed in claim 41, wherein said data sources includes websites, domain names and categories, personal contact networks, news groups, search groups, third party search engines including category-specific search engines, geographical regions, blog sites, intranets, LAN and WAN networks, and/or any other form of searchable source of data.

48. A method as claimed in claim 42, wherein said search groups are a category-specific group of users combining input from cumulative search results, search result ranking, filters, and/or data sources of other search group members.

49. A method as claimed in claim 48, wherein said category is user-definable.

50. A method as claimed in claim 42, wherein a search group displays to its members one or more suggestions listings searches or sites obtained from the direct or indirect recommendations of the group members, said suggestions listings including at least one of:

recent searches denoting the most recent keywords or search result listings associated with the keywords used by the user contacts;

popular websites denoting a ranking of websites most regularly visited by, and/or recommended by the user contacts;

popular searches denoting a ranking of the most popular keywords or search results associated with the keywords used by the user contacts;

high-flying searches denoting a list of keywords or search result listings associated with the keywords ranked according to their rate of increase in the popular searches ranking; and

high-flying websites denoting a list of websites ranked according to their rate of increase in the popular websites ranking.

51. A method as claimed in claim 42, wherein a user may utilize, or become a member of, a search group for a given category by at least one of:

actively selecting said search group;

selecting an external data source from a corresponding category-specific third-party search engine or website;

accessing a search box from a corresponding category-specific website; and

selecting a link from the results listings to the same search query performed by a specified search group.

52. A method as claimed in claim 51, wherein a user accessing a search box from a category-specific website for a predetermined threshold number of occurrences is automatically made a member of a search group corresponding to said category.

53. A method as claimed in claim 41, wherein a user selecting a predetermined threshold number results from a search results listing which would have an altered ranking in searches for the same keywords performed by a given search group is automatically made a member of said given search group.

54. A method as claimed in claim 42, wherein for a user performing a search query without actively specifying any filter, said search engine checks the search query keywords against at least some of the search groups linked with the user for any re-ranked results for said search query for incorporation in the search results listing.

55. A method as claimed in claim 41, wherein the initial or default filters are selectable by the user, or by a search group or search engine moderator, and/or inferred from settings specified external to the search engine.

56. A method as claimed in claim 42, wherein a user'"'"'s search history is compared with other users to identify corresponding search history or patterns.

57. A method as claimed in claim 56, wherein identification of corresponding patterns of search activities generates a membership or offer of membership to the user for search groups associated with users with said corresponding search activities.

58. A method as claimed in claim 41, wherein initial filters applied by the search engine are selected according to one or more context indicators.

59. A method as claimed in claim 41, wherein initial selection of said filter is either user-selected or calculated from one or more predetermined relationships incorporating at least one context indicator related to characteristics of the user, the filter or both.

60. A method as claimed in claim 41, wherein context indicators include at least one of any definable and recordable facet or characteristic of a filter selected by a user and/or a user'"'"'s interests, contact details, personal or bibliographic details, personal contacts network, previous search history, web surfing history, cookie information, occupation, membership or use of search groups, information shared as part of trusted private personal networks, geographical location, language, domain name type, and data voluntarily inputted by the user into the search engine.

61. A method as claimed in claim 60, wherein the context indicators are at least partially determined by recording information relating to:

the user,

the search query,

any filters applied to refine the search; and

/or

the effects of the filters on the quality of the subsequent results.

62. A method as claimed in claim 48, wherein search groups are configurable as either public or private, whereby temporary utilisation of, or membership of said search groups is either open to any user or by invitation from existing search group members respectively.

63. A method as claimed in claim 62, wherein a search group is configurable such that the search results may be influenced by, and/or, filters may be modified by:

any search group member,

by a search group moderator, or

any member with consensus from other search group members.

64. A method as claimed in claim 41, wherein derived filters are obtained from any property or characteristic in addition to the search query keywords common to two or more data items in the search results listings.

65. A method as claimed in claim 41, wherein a listing of preferred data sources for a search group is complied from data sources contributing search results accessed by the search group users more than a predetermined threshold number of occurrences, and a listing of “

irrelevant”

data sources for a search group is complied from data sources contributing search results accessed by users less than a predetermined threshold number of occurrences.

66. A method as claimed in claim 65, wherein said preferred data sources listing and/or irrelevant data source listing may be displayed to search group members.

67. A method as claimed in claim 65, wherein said preferred data sources increase the weighting given by the search engine to application of said preferred data sources as a derived filter in subsequent searches by the search group.

68. A method as claimed in claim 65, wherein said irrelevant data sources decrease the weighting given by the search engine to application of said irrelevant data sources as a derived filter in a subsequent searches by the search group.

69. A method as claimed in claim 64, wherein said derived filters are obtained from relevant data items selected by the user.

70. A method as claimed in claim 64, wherein the listing of preferred data sources for a given search query is supplemented by data sources providing relevant selections for said given search query performed for other search groups and/or non-search group general searches.

71. A method as claimed in claim 70, wherein said supplemented data sources are displayed to the user as suggestions listings, and/or used to contribute at least a proportion of the search result listing to said given search group.

72. A method as claimed in claim 41, wherein said filters are at least partially determined by one or more context indicator(s) associated with the search query, the user, or the results.

73. A method as claimed in claim 41, wherein said search result listing is ranked by one of more filters applied by the search engine.

74. A method as claimed in claim 41, wherein users can promote at least one of:

data items, data sources, and/or filters by submission to the search engine.

75. A method as claimed in claim 74, wherein said submission is visible to all the users or only to members of specific search groups.

76. A method as claimed in claim 41, wherein the search results and associated results re-rankings of two or more search groups may be combined.

77. A method as claimed in claim 41, wherein an interface with the search engine is spontaneously generated on the user'"'"'s display screen according to a trigger related to at least one of:

an occurrence of a predetermined context indicator, a user'"'"'s surfing activity during the current session, and the domain name currently accessed by the user.

78. A method as claimed in claim 41, wherein said search engine is accessible by a downloadable desktop application programme installed on a user-side site provided by the search engine or an affiliated partner of the search engine.

79. A method as claimed in claim 78, wherein said desktop application is capable of operating concurrently while the user is accessing an internet-linked document or email.