Granted Patent B2

US 12,306,840 · App. 17/984,937 · Granted May 20, 2025

Inventors: Oliver Sharp (Seattle, WA); David Wortendyke (Seattle, WA); Scot Gellock (Seattle, WA); Robert Wahbe (Seattle, WA)

Assignee: HIGHSPOT, INC.

G06F16/24578G06F16/14G06F16/335G06F16/34G06F16/9535

Abstract

Claims (109)

1. A computer-implemented method of identifying information of interest within an organization comprising:

determining use data that characterizes relationships among information items in the organization with respect to users within the organization, the organization including a structured body of users with associated roles within the organization and with access to at least a subset of the information items within the organization;

generating interest graph data structures indicating affinity among the information items based on the determined use data;

wherein each interest graph data structure expresses an affinity between at least one user and a first information item that represents a likelihood that the first information item is of interest to the at least one user, and

wherein generating the interest graph data structure comprises:

determining an affinity between the first information item and a second information item based on the use data; and

determining the affinity between the at least one user and the first information item based on the affinity between the first information item and the second information item;

receiving a request for a feed or set of information items from a particular user; and

responding to the request by providing one or more items selected from the information items in the organization based on the generated interest graph data structure.

2. The computer-implemented method of claim 1 ,

wherein the organization is a business enterprise or a legal entity.

3. The computer-implemented method of claim 1 ,

wherein a relationship between a first user and a respective information item corresponds to an activity performed by the first user on the respective information item,

wherein the activity is querying, browsing, opening, viewing, editing, critiquing, bookmarking, liking, sharing, downloading, collecting, or curating the information item,

wherein determining the use data includes tracking the activity, and

wherein tracking the activity is performed using web browser software without downloading additional software or documents.

4. The computer-implemented method of claim 1 , wherein a relationship between two users corresponds to:

an organizational relationship between the two users with respect to the roles of the two users with the organization,

an activity performed by the two users together within the organization,

a pair of relationships respectively between the two users and a respective information item, or

any combination thereof.

5. The computer-implemented method of claim 1 , wherein responding to the request comprises:

combining multiple, similar results into one result;

ordering multiple results by:

a recency of an information item,

a popularity of an information item,

a popularity of a collection of information items,

an authority of the particular user,

the interest data, or

any combination thereof; and

presenting the multiple results based on the ordering,

wherein the request is generated automatically, and

wherein responding to the request comprises generating a message to be sent by email or other messaging system.

6. The computer-implemented method of claim 5 , further comprising:

generating automated requests for feeds based on:

a user-specified frequency,

a number of items provided based on the generated interest data,

popularity of relevant information items,

popularity of users who own or performed activities on the provided information items, or

any combination thereof.

7. The computer-implemented method of claim 5 , further comprising:

determining the recency of a respective information item based on a number of activities performed on the respective information item in the last hour, day, week, or other time period.

8. The computer-implemented method of claim 5 , further comprising:

determining the popularity of a respective information item based on:

a number of activities performed on the respective information item,

an authority of users who performed activities on the respective information item,

a popularity of collections of information items to which the respective information item belongs, or

any combination thereof.

9. The computer-implemented method of claim 5 , further comprising:

determining the authority of the particular user based on a number of activities performed on information items created by the particular user.

10. The computer-implemented method of claim 5 , further comprising:

determining the popularity of a first collection of information items based on a number of activities performed on the information items in the first collection of information items.

11. The computer-implemented method of claim 1 , further comprising:

determining an affinity between a first user and a second user based on:

a relationship between the first user and the second user,

an interest indicated by the first user with respect to the second user,

an affinity between the first user and a second user and a relationship between the second user and the first information item,

an affinity between the first user and a collection to which the first information item belongs, or

any combination thereof.

12. The computer-implemented method of claim 1 , further comprising:

determining an affinity between a user and a collection of information items based on a relationship between the user and the collection.

13. The computer-implemented method of claim 1 , further comprising determining additional use data characterizing relationships among users and information items across the organization and at least one other, independent organization.

14. A system to identify information of interest within an organization, the system comprising:

at least one hardware processor;

at least one memory having contents configured to, when executed by the at least one processor, perform a method comprising:

determining use data that characterizes relationships among information items in the organization with respect to users within the organization, the organization including a structured body of users with associated roles within the organization and with access to at least a subset of the information items within the organization;

generating interest graph data structures indicating affinity among the information items based on the determined use data;

wherein each interest graph data structure expresses an affinity between at least one user and a first information item that represents a likelihood that the first information item is of interest to the at least one user, and

wherein generating the interest graph data structure comprises:

determining an affinity between the first information item and a second information item based on the use data; and

determining the affinity between the at least one user and the first information item based on the affinity between the first information item and the second information item;

receiving a request for a feed or set of information items from a particular user; and

responding to the request by providing one or more items selected from the information items in the organization based on the generated interest graph data structure.

15. The system of claim 14 ,

wherein the organization is a business enterprise or a legal entity.

16. The system of claim 14 ,

wherein a relationship between a first user and a respective information item corresponds to an activity performed by the first user on the respective information item,

wherein the activity is querying, browsing, opening, viewing, editing, critiquing, bookmarking, liking, sharing, downloading, collecting, or curating the information item,

wherein determining the use data includes tracking the activity, and

wherein tracking the activity is performed using web browser software without downloading additional software or documents.

17. The system of claim 14 , wherein responding to the request comprises:

combining multiple, similar results into one result;

ordering multiple results by:

a recency of an information item,

a popularity of an information item,

a popularity of a collection of information items,

an authority of the particular user,

the interest data, or

any combination thereof; and

presenting the multiple results based on the ordering,

wherein the request is generated automatically, and

wherein responding to the request comprises generating a message to be sent by email or other messaging system.

18. The system of claim 17 , wherein the method performed by the processor further comprises:

determining the recency of a respective information item based on a number of activities performed on the respective information item in the last hour, day, week, or other time period.

19. The system of claim 17 , wherein the method performed by the processor further comprises:

determining the popularity of a respective information item based on:

a number of activities performed on the respective information item,

an authority of users who performed activities on the respective information item,

a popularity of collections of information items to which the respective information item belongs, or

any combination thereof.

20. A computer-readable storage medium excluding transitory signals and carrying instructions that, when executed, are capable of causing a computing system to perform a method comprising:

determining use data that characterizes relationships among information items in an organization with respect to users within the organization, the organization including a structured body of users with associated roles within the organization and with access to at least a subset of the information items within the organization;

generating interest graph data structures indicating affinity among the information items based on the determined use data;

wherein each interest graph data structure expresses an affinity between at least one user and a first information item that represents a likelihood that the first information item is of interest to the at least one user, and

wherein generating the interest graph data structure comprises:

determining an affinity between the first information item and a second information item based on the use data; and

determining the affinity between the at least one user and the first information item based on the affinity between the first information item and the second information item;

receiving a request for a feed or set of information items from a particular user; and

responding to the request by providing one or more items selected from the information items in the organization based on the generated interest graph data structure.

Assignments (2)

Continuity (5)

References Cited (105)