Network promotional system and method

• US 20060195442A1
• Filed: 02/03/2006
• Published: 08/31/2006
• Est. Priority Date: 02/03/2005
• 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:
  US11/347,181
• Publication Number:
  US 20060195442A1
• 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: G06Q 30/00 Commerce

Abstract

A search engine (1) capable of providing a listing of destinations (4) in response to searches for a user-inputted search term (6), said search engine (1) further providing at least one suggestions (10) listing derived from users previously inputted search terms (6) and/or destinations (4) selected, characterized in that at least one seeded suggestion (15) is incorporated in at least one suggestion (10) listing.

Claims

1. A search engine capable of providing a listing of destinations in response to searches for a user-inputted search term, said search engine further providing at least one suggestions listing derived from users previously inputted search terms and/or destinations selected, characterized in that

at least one seeded suggestion is incorporated in at least one suggestion listing.

2. A search engine as claimed in claim 1, wherein the suggestions and associated seeded suggestions are displayed to the user either integrally and/or externally to the search engine.

3. A search engine as claimed in claim 2, wherein suggestions and associated seeded suggestions displayed to the user integrally and/or externally to the search engine respectively include and omit a dynamic link to the search engine.

4. A search engine as claimed in claim 1, wherein said seeded suggestions occupy a defined proportion of, and/or position in, the suggestions displayed to a user.

5. A search engine as claimed in claim 4, wherein said defined proportion includes a proportion of the time, and/or the number of suggestions displayed to the user.

6. A search engine as claimed in claim 1, wherein said seeded suggestions are displayed to users meeting predetermined user parameters.

7. A search engine as claimed in claim 6, wherein the user parameters include, but are not restricted to, the user'"'"'s search history, entity attribute, identifying characteristic, and/or connection factor.

8. A search engine as claimed in claim 1, wherein said search terms includes keywords, images, sounds, alphanumeric data, and/or any other query used as the user input for searches performed by the search engine.

9. A search engine as claimed in claim 1, wherein suggestions incorporate destinations and/or search terms.

10. A search engine as claimed in claim 1, wherein said suggestions include, but are not restricted to:

recent searches denoting the most recent search terms selected by users over a defined period;

recent destinations denoting the most recent destinations (e.g. websites) selected by users over a defined period;

popular destinations denoting a ranking of destinations most regularly visited by users over a defined period;

popular searches denoting a ranking of the most popular search terms selected by users over a defined period;

high-flying searches denoting a list of search terms ranked according to their rate of change in the popular searches ranking;

high-flying destinations denoting a list of destinations ranked according to their rate of change in the popular destinations ranking and/or

recent, popular, high-flying searches or destinations for paid or sponsored web listings.

11. A search engine as claimed in claim 2, wherein externally displayed suggestions are distributed to users via any of:

email;

electronic newsletters;

RSS feeds, text messaging and/or any combination of same.

12. A search engine as claimed in claim 1, configured to applying weighting to the search results by increasing the ranking of a selected destination over an unselected destination in the search results listing.

13. A search engine as claimed in claim 1, wherein said search engine classifies a selection of destinations as being relevant when the user performs at least one action in association with the selected destination to meet at least one predetermined relevancy criteria.

14. A search engine as claimed in claim 13, wherein said predetermined relevancy criteria includes whether the user accesses a destination for longer than a predetermined period, accesses further destinations directly from the first selected destination and/or submits/downloads data to/from the destination.

15. A search engine as claimed in claim 1, configured to interface with a personal contacts network of user contacts formed from contacts with one or more entities known directly or indirectly to the user, wherein said personal contacts network provides respective interrelationship context information associated between at least two entities and/or between an entity and the user.

16. A search engine as claimed in claim 15, wherein said interrelationship context information includes one or more entity attributes and/or a connection factor indicative of the degree of separation between the user contact and the user.

17. A search engine as claimed in claim 1, capable of displaying indicative information in the form of suggestions and/or destinations weighting to a user from searches performed by one or more entities connected directly or indirectly with the user.

18. A search engine as claimed in claim 15, wherein the suggestions displayed to a user from the user contacts is user-variable according to a selective input from the user contacts.

19. A search engine as claimed in claim 18, wherein the selective input mayfilter the suggestions according to at least one filter criteria including the elapsed period since the suggestion creation, the interrelationship context information, the connection factor and/or entity attributes of the contributing user contacts.

20. A search engine as claimed in claim 1, wherein the suggestions and seeded suggestions are displayed in a non-linear on-screen cluster arrangement.

21. A search engine as claimed in claim 20, configured such that the relative prominence of the individual suggestions and/or seeded suggestions with respect to each other within said cluster is adjustable by variations in the suggestions and seeded suggestions size, colour, contrast, pattern, shape, and/or audio output.

22. A search engine as claimed in claim 21, wherein said seeded suggestion prominence is at least partially governed by the magnitude of a display fee paid by a promoter, the display duration, and/or previous popularity in preceding searches.

23. A search engine as claimed in claim 19, configured to allow a user to apply a selective input to the user'"'"'s suggestions by using a filter criteria of controlling the value of N^th degree of contact of entities to be included, where N is a variable determined by the user.

24. A search engine as claimed in claim 23, wherein the filter criteria for said selective input may be linked to a predetermined activity.

25. A search engine as claimed in claim 24, wherein a user engaged in one or more said predetermined activities may specify the action to apply to

all degrees of contact in the user'"'"'s personal contacts network, at any connection path length, or

all system users, including those who are not connected to the user.

26. A search engine as claimed in claim 23, configured to receive selective input from networks outside the system network.

27. A search engine as claimed in claim 15, wherein the user contacts associated with the suggestions most frequently selected by the user are designated preferred user contacts.

28. A search engine as claimed in claim 27 wherein the selective input may be at least partially weighted to suggestions from the preferred user contacts.

29. A search engine as claimed in claim 1, wherein the search engine records an association between a filter applied to a search term and an individual destination selected by a user from a filtered portion of the destinations 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 term.

30. A search engine as claimed in claim 29, 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, pictures;

search groups;

human editorial control/moderator;

user-behavior 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.

31. A search engine as claimed in claim 30, wherein data sources includes;

search groups, web sites, domain names and categories, personal contact networks, news 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.

32. A search engine as claimed in claim 30, wherein search groups are a category-specific group of users sharing search results and/or preferred data sources;

each search group user having at least one common entity attribute.

33. A search engine as claimed in claim 32, wherein a search group is formed from any users using a search engine link on a category-specific or specialized web-site.

34. A search engine as claimed in claim 29, wherein the initial or default choice of filters may be made manually by the user, or by a search group or search engine moderator and/or inferred from settings specified external to the search engine. search engine moderator and/or inferred from settings specified external to the search engine.

35. A search engine as claimed in claim 29, wherein the initial filters applied by the search engine are selected according to one or more context indicators.

36. A search engine as claimed in claim 35, 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.

37. A search engine as claimed in claim 35, wherein context indicators include 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, previous search behavior, web surfing behavior, cookie information, occupation, membership or use of search groups, information shared as part of trusted personal contacts networks, geographical location, language, domain name type, data voluntarily inputted by the user into the search engine.

38. A search engine as claimed in claim 29, including a search term suggestion mechanism capable of providing search term filters for use by the adaptive search engine as initial filters and/or as alternatives to replace filters generating irrelevant or unselected results.

39. A search engine as claimed in claim 38, wherein the search term suggestion mechanism identifies a link between different search terms that resulted in the same destination being selected by a user and uses the inferred connection between search terms to generate a database of related search terms for providing the user with alternative search term suggestions.

40. A search engine as claimed in claim 38, wherein the seeded suggestion is displayed as a search term suggestion.

41. A search engine as claimed in claim 40, wherein the seeded suggestion is displayed as a search term suggestion in response to a user search term input for a related search term to the seeded suggestion.

42. A search engine as claimed in claim 41, wherein the seeded suggestion is also be displayed to users who also used the same or related search terms as users who accessed the seeded suggestion.

a seeded suggestion history factor (SSHF) with a value greater than the history factor associated with the other displayed suggestions and/or

a seeded suggestion user access value (SS α

) with a value greater than the user access value α

associated with the other displayed suggestions.

44. A 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),

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

45. A method of displaying to a user on a display screen a seeded suggestion using the search engine as claimed in claim 1.

46. A method as claimed in claim 45, wherein a promoter is charged a fee for displaying a seeded suggestion according to at least one of the following:

a fixed cost fee for doing any seeded suggestion campaign;

a fixed-cost fee per seeded suggestion displayed;

a fee for each user-access (i.e. a ‘

click through’

) of a seeded suggestion;

a fee per user viewing the seeded suggestion;

a fee proportional to the total traffic of the search engine, irrespective

a fee for each user-access (i.e. a ‘

click through’

) of a seeded suggestion;

a fee per user viewing the seeded suggestion;

a fee proportional to the total traffic of the search engine, irrespective whether derived from the seeded suggestions;

a predetermined fee for displaying a seeded suggestion to targeted users selected according to users'"'"' search group membership, search history, entity attributes, identifying characteristics, connection factors, interrelationship context information,filters, data sources or the like;

a percentage of the sales that results from all of the traffic;

a combination of any or all of the above.

47. A method as claimed in claim 45, wherein a fee charged for displaying a seeded suggestion is determined by a user bidding system.

48. A method as claimed in claim 47, wherein said bidding also determines which terms are included in the seeded suggestions.

49. A method as claimed in claim 47, wherein said bidding determines which destinations are included in the search results associated with a particular search term seeded suggestions.

50. A software adaptation to an existing search engine capable of providing a listing of destinations in response to searches for a user-inputted search term, said search engine further providing at least one suggestions listings derived from users search terms and/or destinations, said adaptation characterized in that at least one seeded suggestion is incorporated in at least one suggestion listing.