Collections of linked databases

• US 10,733,242 B2
• Filed: 01/20/2014
• Issued: 08/04/2020
• Est. Priority Date: 09/15/2004
• Status: Active Grant

• Current Assignee: 3degrees LLC
• Original Assignee: 3degrees LLC
• Inventors: Markus, Michael J., Markus, Heather A., Kionga-Kamau, Peter M., Smith, Brian N.
• Primary Examiner(s): Trujillo, James
• Assistant Examiner(s): Mueller, Kurt
• Application Number:
  US14/158,965
• Publication Number:
  US 20140136522A1
• Time in Patent Office: 2,388 Days
• CPC Class Codes: G06F 16/906 Clustering; Classification
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9536 Search customisation based on social or collaborative filtering

Abstract

A method and system generate an inferential network. Records of searches of a network of linked nodes are stored. Each of the nodes is connected to another one of the nodes by a link. Further, each of the records includes: 1) search terms used in a corresponding search; and 2) results of the corresponding search. The results correspond to nodes of the network. The stored records are analyzed to infer relationships between pairs of nodes of the network. Each of the relationships is inferred from the behavior of one of the nodes of a pair of nodes relative to the other node of the pair of nodes. Inferential nodes corresponding to the nodes of the pairs of nodes are generated, and inferential links between the inferential nodes are generated. The inferential links correspond to the inferred relationships.

Claims

1. A method for generating an inferential network, the method comprising:

storing records of searches of a network of linked nodes, each of the nodes connected to another one of the nodes by a link, and each of the records including;

key words used in a corresponding search; and

results of the corresponding search, the results representing nodes of the network;

analyzing the stored records to infer relationships between pairs of nodes of the network, each of the relationships inferred from a behavior of one of the nodes of a pair of nodes relative to another node of the pair of nodes;

generating a distinct inferential network based on the stored records that is separate from the network of linked nodes searched, wherein the inferential network is made up entirely of inferential nodes and inferential links between the inferential nodes;

generating inferential nodes based upon the nodes of the pairs of nodes represented in the stored records;

generating inferential links between the inferential nodes, the inferential links based upon the inferred relationships between the nodes of the pairs of nodes represented in the stored records; and

displaying at least a portion of the inferential network having a form of;

D₁-c-D₂,

wherein “

D1”

is a first inferential node, “

D2”

is a second inferential node, “

-”

represents an inferential link between D1 and D2, and “

c”

represents a visual designation of the “

-”

link between the first inferential node and the second inferential node, the visual designation of the “

-”

link visually qualifying the link and visually differing from a visual designation of another “

-”

link of the displayed portion of the inferential network; and

,

wherein the method is performed by at least one processor.

2. The method of claim 1, wherein each of the inferential links extends between the inferential nodes of a pair of inferential nodes, the pair of inferential nodes based upon the pair of nodes of the inferred relationship corresponding to the inferential link.

3. The method of claim 1, wherein one of the pairs of nodes represented in one of the stored records includes:

a first node representing a member of the network, the member being an initiator of the corresponding search of the record; and

a second node selected by the member as being;

most likely to possess information on a topic of the corresponding search of the record;

or

most likely to be directly linked to another node of the network possessing information on the topic.

4. The method of claim 1, wherein the nodes of the network correspond to one or more of members of a social network and websites.

5. The method of claim 1, further including:

generating one of the inferential links based on one of the stored records; and

labeling the inferential link based on search terms of the stored record.

6. The method of claim 1, further including:

labeling one of the inferential links with a strength; and

decreasing the strength over time.

7. The method of claim 1, further including:

labeling one of the inferential links with a strength; and

increasing the strength with the number of times that a node of the network corresponding to the inferential link is designated as an anchor database in a search.

8. The method of claim 1, further including:

determining an inferential network path from a first inferential node of the inferential network to a second inferential node of the inferential network using existing inferential links of the inferential network.

9. The method of claim 8, wherein the inferential links include strengths and the method further includes:

determining the inferential network path as a function of the strengths.

10. The method of claim 1, wherein “

c”

is based at least in part upon a strength of the inferential link between D1 and D2.

11. The method of claim 1, further including:

grafting a section of the inferential network onto at least one inferential node of a second inferential network.

12. A system for generating an inferential network, the system comprising:

at least one memory storing records of searches of one or more networks of linked nodes, each of one or more networks having nodes connected to another one of the nodes by a link, and each of the records including;

search terms used in a corresponding search; and

results of the corresponding search, the results representing nodes of the one or more networks searched;

at least one program memory programmed to;

analyze the stored records to infer relationships between pairs of nodes of the one or more networks, each of the relationships inferred from a behavior of one of the nodes of a pair of nodes relative to another node of the pair of nodes;

generate a distinct inferential network based on the stored records that is separate from the one or more networks of linked nodes searched, wherein the inferential network is made up entirely of inferential nodes and inferential links between the inferential nodes;

generate inferential nodes based upon the nodes of the pairs of nodes represented in the stored records;

generate inferential links between the inferential nodes, the inferential links based upon the inferred relationships between the nodes of the pairs of nodes represented in the stored records; and

display at least a portion of the inferential network having a form of;

D₁-c-D₂,

wherein “

D1”

is a first inferential node, “

D2”

is a second inferential node, “

-”

represents an inferential link between D1 and D2, and “

c”

represents a visual designation of the “

-”

link between the first inferential node and the second inferential node, the visual designation of the “

-”

link visually qualifying the link and visually differing from a visual designation of another “

-”

link of the displayed portion of the inferential network.

13. The system of claim 12, wherein each of the inferential links extends between the inferential nodes of a pair of inferential nodes, the pair of inferential nodes based upon the pair of nodes of the inferred relationship corresponding to the inferential link.

14. The system of claim 12, wherein one of the pairs of nodes represented in one of the stored records includes:

a first node representing a member of the one or more networks, the member being an initiator of the corresponding search of the record; and

a second node selected by the member as being;

most likely to possess information on a topic of the corresponding search of the record;

or

most likely to be directly linked to another node of the one or more networks possessing information on the topic.

15. The system of claim 12, wherein the at least one processor is further programmed to:

generate one of the inferential links based on one of the stored records; and

label the inferential link based on search terms of the stored record.

16. The system of claim 12, wherein the at least one processor is further programmed to:

label one of the inferential links with a strength.

17. The system of claim 16, wherein the at least one processor is further programmed to:

increase the strength with the number of times that a node of the one or more networks corresponding to the inferential link is designated as an anchor database in a search.

18. The system of claim 12, wherein the at least one processor is further programmed to:

determine an inferential network path from a first inferential node of the inferential network to a second inferential node of the inferential network using existing inferential links of the inferential network.

19. The system of claim 12, wherein the one or more networks includes at least two of:

a network of linked websites on an internet;

a network of linked websites on an intranet system;

a network of linked nodes having the form of a social-network map;

a network of linked nodes that is the product of an invitation-and-acceptance method; and

a network of linked nodes wherein each linked node is independently selected from an Internet website, an intranet website, and a social-network node.

20. A method for generating an inferential network, the method comprising:

storing records of searches of one or more networks of linked nodes, each of the one or more networks having nodes connected to another one of the nodes by a link, and each of the records including;

key words used in a corresponding search; and

results of the corresponding search, the results corresponding to nodes of the one or more networks searched;

analyzing the stored records to infer relationships between pairs of nodes of the one or more networks, each of the relationships inferred from a behavior of one of the nodes of a pair of nodes relative to another node of the pair of nodes;

generating a distinct inferential network based on the stored records that is separate from the one or more networks of linked nodes searched, wherein the inferential network is made up of inferential nodes and inferential links between the inferential nodes;

generating inferential nodes based upon the nodes of the pairs of nodes represented in the stored records;

generating inferential links between the inferential nodes, the inferential links based upon the inferred relationships between the nodes of the pairs of nodes represented in the stored records; and

displaying at least a portion of the inferential network having the form of;

D₁-c-D₂,

wherein “

D1”

is a first inferential node, “

D2”

is a second inferential node, “

-”

represents an inferential link between D1 and D2, and “

c”

represents a visual designation of the “

-”

link between the first inferential node and the second inferential node, the visual designation of the “

-”

link visually qualifying the link and visually differing from a visual designation of another “

-”

link of the displayed portion of the inferential network;

wherein the one or more networks includes at least two networks of linked nodes; and

wherein the method is performed by at least one processor.