SYSTEMS AND METHODS FOR IDENTIFYING AND ANALYZING INTERNET USERS

• US 20130218865A1
• Filed: 02/21/2013
• Published: 08/22/2013
• Est. Priority Date: 02/21/2012
• Status: Active Grant

• Current Assignee: Wiland, Inc.
• Original Assignee: SpotRight, Inc. (Wiland, Inc.)
• Inventors: Angulo, David, Ripple, Lanier, Halko, Nathan
• Granted Patent: US 9,195,748 B2
• Time in Patent Office: Days
• US Class Current: 707/709
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9566 URL specific, e.g. using aliases, detecting broken or misspelled links
• CPC Class Codes: G06F 40/205 Parsing
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0204 Market segmentation
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

This disclosure describes systems, methods, and apparatus for generating reports enhancing an understanding of Internet users based on their generated content and actions taken by others in response to the generated content.

Claims

1. A server system comprising:

a network interface that receives product, service, or customer data from a client, receives a query from the client, and returns a report of social profiles to the client;

a memory storing a searchable social profile datastore having one or more social profiles;

a processor running an API, a crawler module, a parser, an analysis module, and a scoring module,

the API receives the product, service, or customer data from the client via the network interface, receives a query from the client via the network interface, and returns a report of social profiles to the client in response to the query via the interface,

the crawler module collects content and raw data from the Internet based on the product, service, or customer data,

the parser parses the content and raw data into terms,

the analysis module computes one or more of the following for each term;

a reach value, a relevance value, and an impact value, and

the scoring module;

computes scores for one or more social profiles for each term based on the one or more of reach value, relevance value, and impact value; and

adds to or updates the one or more social profiles with the scores.

2. The server system of claim 1, wherein the one or more social profiles include at least fields describing:

location and contact information.

3. The server system of claim 1, wherein the report includes values for reach, relevance, and impact associated with at least one social profile.

4. The server system of claim 1, wherein the report includes at least one context associated with at least one social profile.

5. The server system of claim 1, wherein the analysis module comprises:

a compute reach module;

a compute relevance module; and

a compute impact module.

6. The server system of claim 5, wherein the analysis module further comprises a graph builder module that maps relationships between social profiles in the searchable social profile datastore.

7. The server system of claim 6, wherein the graph builder module creates and updates a graph datastore.

8. The server system of claim 7, wherein the compute reach module computes reach values based on quantitative analysis of the graph datastore.

9. The server system of claim 7, wherein the graph datastore includes nodes representing users, and includes edges between the nodes, where the edges represent relationships between the users.

10. The server system of claim 9, wherein the graph builder module is further configured to merge nodes deemed to represent the same user.

11. The server system of claim 5, wherein reach, relevance, and impact values as determined by the analysis module are used to calculate scores in the scoring module and the scores are assigned to social profiles in the searchable social profile database.

12. The server system of claim 5, wherein the impact module computes a number and quality of actions taken in response to the publication of content on the Internet.

13. The server system of claim 1, wherein the query includes one or more contexts describing one or more terms, and the report includes one or more social profiles having highest scores in the one or more contexts.

14. The server system of claim 1, further comprising a profile enrichment module running on the processor, the profile enrichment module assigns actual user names to the one or more social profiles in the searchable profile datastore.

15. A method for generating reports enhancing an understanding of Internet users based on their generated content and actions taken by others in response to the generated content, the method comprising:

collecting content or other raw data via a crawler module that accesses webpages from a network interface of a server system;

associating the content or other raw data with a social profile residing in or being added to a memory;

calculating scores for the social profile based on terms parsed from the content or other raw data;

receiving a query, via the network interface, for users fitting one or more contexts;

identifying the users fitting the one or more contexts; and

returning a report in response to the query and transmitted through the network interface, having the users.

16. The method of claim 15, wherein the calculating scores is performed based on one or more of reach, relevance, and impact scores for each of the terms parsed from the content or other raw data.

17. The method of claim 15, further comprising:

receiving another query, via the network interface, for contexts fitting one or more users;

identifying the contexts fitting the one or more users; and

returning another report in response to the another query and transmitted through the network interface, having the contexts.

18. A method comprising:

seeding a crawler module;

crawling the Internet to find new users that can be used to create new social profiles, the first crawling based on the seeding;

crawling the Internet to further populate existing social profiles, the second crawling based on the seeding;

parsing content or other raw data generated by the first and second crawling into terms;

associating the terms and the content or other raw data with the existing social profiles or the new social profiles;

computing scores for each term;

associating the scores for each term with the existing social profiles and the new social profiles;

returning a report to a client via the network interface in response to a query received via the network interface, the report including one or more social profiles matching contexts found in the query.

19. The method of claim 18, wherein computing scores for each term includes computing one or more of reach, relevance, and impact values for each term and then computing scores for each term based on the one or more reach, relevance, and impact values.

20. The method of claim 18, where the report includes one or more contexts.