Methods and systems for a content development and management platform

Patent metadata

Field	Value
Publication number	US-11836199-B2
Application number	US-202117443211-A
Country	US
Kind code	B2
Filing date	Jul 22, 2021
Priority date	Nov 9, 2016
Publication date	Dec 5, 2023
Grant date	Dec 5, 2023

Abstract

The present system and method relate to an automated crawler for crawling a primary online content object and storing a set of results, a parser for parsing the stored set of results to generate a plurality of key phrases and a content corpus, a plurality of models for processing at least one of the plurality of key phrases or the content corpus, wherein the processing results in a plurality of topic clusters which arrange topics within the primary online content object around a core topic based on semantic similarity, a suggestion generator for generating a suggested topic that is similar to at least one topic among the plurality of topic clusters and for storing the suggested topic, and an application for developing a strategy for development of online presence content.

First claim

What is claimed is:

1. A system comprising memory storing instructions and comprising a processor that executes the instructions to perform operations comprising:
crawling a primary online content object to create a set of results from the crawling;
parsing the set of results to generate key phrases and a content corpus from the primary online content object;
processing the key phrases and the content corpusto create topic clusters which arrange topics within the primary online content object around a core topic based on semantic similarity;
generating a suggested topic that is similar to a topic of the topic clusters, wherein the suggested topic is stored within a topic cluster data store; and
generating, by an application, a strategy for development of online presence content, wherein the application includes a set of tools for exploring and selecting suggested topics stored in the topic cluster data store for generating the online presence content, that is linked to the primary online content object by a cluster of semantically related content, wherein a subtopic is identified and recommended through the application for a selected suggested topic based upon the subtopic being validated using scoring metrics and a similarity of the subtopic to the core topic.

2. The system of claim 1 , wherein the application is configured to provide a list of the suggested topics that are of highest semantic relevance for an enterprise based on the parsing of the set of results from the crawling.

3. The system of claim 1 , further comprising a user interface of the application for presenting the suggested topic, wherein the suggested topic is presented with an indicator of the similarity of the suggested topic to the topic of the topic clusters as calculated by a model.

4. The system of claim 1 , further comprising a user interface of the application for presenting the suggested topic, wherein the user interface is configured to facilitate generation of content related to the suggested topic.

5. The system of claim 4 , wherein the user interface includes of key words that represent the suggested topic.

6. The system of claim 5 , wherein the user interface uses the key words to prompt a user with content for generation of the online presence content.

7. The system of claim 1 , wherein the online presence content is mobile application content.

8. The system of claim 1 , wherein each suggested topic is associated with an indicator of a similarity of a given suggested topic to a given topic of the topic clusters as calculated by a model.

9. The system of claim 1 , wherein a notification is provided to a user regarding a suggested link for connecting a subtopic page of the subtopic to a topic page of a cluster of topics filled out by the user through the application, wherein the suggested link is provided as a recommendation based upon a determination that a link between the subtopic page and the topic page is absent.

10. The system of claim 1 , wherein the application comprises a user interface for developing content regarding the suggested topic for presentation in a communication to a customer based on a semantic relationship between the suggested topic and a data record relating to the customer stored in a customer relationship management system.

11. A computer-implemented method comprising:
crawling a primary online content object to create a set of results from the crawling;
generating key phrases and a content corpus from the primary online content object-by parsing the set of results;
generating topic clusters representing topics within the primary online content object by processing the key phrases and the content corpus with a model;
generating, using the topic clusters, a suggested topic that is similar to a topic of the topic clusters, wherein the suggested topic is stored within a topic cluster data store; and
developing, by an application, a strategy for development of online presence content, wherein the application includes a set of tools for exploring and selecting suggested topics stored in the topic cluster data store for generating the online presence content that is linked to the primary online content object by a cluster of semantically related content, wherein a subtopic is identified and recommended through the application for a selected suggested topic based upon the subtopic being validated using scoring metrics and a similarity of the subtopic to a core topic of the primary online content object.

12. The computer-implemented method of claim 11 , wherein the application is further configured to provide a list of the suggested topics that are of highest semantic relevance for an enterprise based on the parsing of the set of results.

13. The computer-implemented method of claim 11 , further comprising presenting the suggested topic using a user interface of the application, wherein the suggested topic is presented with an indicator of the similarity of the suggested topic to the topic of the topic cluster as calculated by the model.

14. The computer-implemented method of claim 11 , further comprising presenting the suggested topic using a user interface of the application, wherein the user interface facilitates generation of content related to the suggested topic.

15. The computer-implemented method of claim 14 , wherein the user interface includes key phrases that represent the suggested topic.

16. The computer-implemented method of claim 15 , wherein the key phrases are used by the user interface to prompt a user with content for generation of the online presence content.

17. The computer-implemented method of claim 11 , wherein each suggested topic is associated with an indicator of a similarity of a given suggested topic to a given topic of the topic clusters as calculated by the model.

18. The computer-implemented method of claim 11 , further comprising accessing a content of a customer relationship management system using the application.

19. A computer-implemented method comprising:
generating key phrases and a content corpus from a primary online content object;
generating topic clusters representing topics within the primary online content object by processing the key phrases and the content corpus with a model;
generating, using topic clusters, a suggested topic that is similar to a topic of the clusters, wherein the suggested topic is stored within a topic cluster data store; and
developing, by an application, a strategy for development of online presence content, wherein the application includes a set of tools for exploring and selecting suggested topics stored in the topic cluster data store for generating the online presence content that is linked to the primary online content object by a cluster of semantically related content, wherein a subtopic is identified and recommended through the application for a selected suggested topic based upon the subtopic being validated using scoring metrics and a similarity of the subtopic to a core topic of the primary online content object.

20. The computer-implemented method of claim 19 , further comprising providing a notification to a user regarding a suggested link for connecting a subtopic page of the subtopic to a topic page of a cluster of topics filled out by the user through the application, wherein the suggested link is provided as a recommendation based upon a determination that a link between the subtopic page and the topic page is absent.

Assignees

• Hubspot Inc

Inventors

• Hennekey Tim
• Krim Asher
• Defranco Angela
• Cleveland Theodore
• Meharry Jonathan
• Barby Matthew

Classifications

• G06F16/9535 Primary

  Search customisation based on user profiles and personalisation · CPC title

• G06N20/00 Primary

  Machine learning · CPC title

• G06F16/906

  Clustering; Classification · CPC title