Patents by Inventor MARCOS CIARROCCHI

MARCOS CIARROCCHI has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11960820
    Abstract: A structural analysis system analyzes the pages of a web site, including the content of the pages and their relationships to each other. Based on the analysis, the structural analysis system additionally modifies (or suggests modification of) the web pages of the web site, such as by altering the inter-page linking structure of the web site. This improves the structure of the web site, leading search engines to be able to more quickly find and index its pages, as well as increasing the expected ranking that a search engine would provide to pages of the web site within the set of search results provided by the search engine in response to a user query.
    Type: Grant
    Filed: October 11, 2022
    Date of Patent: April 16, 2024
    Assignee: Graphite Growth, Inc.
    Inventors: Gregory Druck, Ethan Smith, Marcos Ciarrocchi, Jerick Ordenes
  • Publication number: 20230115827
    Abstract: A structural analysis system analyzes the pages of a web site, including the content of the pages and their relationships to each other. Based on the analysis, the structural analysis system additionally modifies (or suggests modification of) the web pages of the web site, such as by altering the inter-page linking structure of the web site. This improves the structure of the web site, leading search engines to be able to more quickly find and index its pages, as well as increasing the expected ranking that a search engine would provide to pages of the web site within the set of search results provided by the search engine in response to a user query.
    Type: Application
    Filed: October 11, 2022
    Publication date: April 13, 2023
    Inventors: GREGORY DRUCK, ETHAN SMITH, MARCOS CIARROCCHI, JERICK ORDENES
  • Publication number: 20230061289
    Abstract: A system generates a topic graph based on the SERP data for high-ranking keywords in a search engine. Clustering may be based on (for example) degrees of intersection between links in search results of keywords from the SERP data, or keyword embeddings on the SERP data. The topic graph loosely clusters the keywords, such that the keywords have at least a threshold degree of similarity to their clusters, but not necessarily to all the other keywords in the cluster. As a consequence of the loose clustering, a given topic contains keywords that represent different aspects of the same concept, such that a content viewer would likely be interested in a piece of content that addresses the different aspects, and a search engine would be more likely to highly rank the content within its search results for one of the keywords.
    Type: Application
    Filed: August 25, 2022
    Publication date: March 2, 2023
    Inventors: JOSE LUIS PAREDES, MARCOS CIARROCCHI, GREGORY DRUCK