公开(公告)号：US11836199B2

公开(公告)日：2023-12-05

申请号：US17443211

申请日：2021-07-22

Applicant: HubSpot, Inc.

Inventor： Tim Hennekey ,  Asher Krim ,  Angela DeFranco ,  Theodore Cleveland ,  Jonathan Meharry ,  Matthew Barby

IPC: G06F16/9535 ,  G06N20/00 ,  G06F16/906

CPC classification number: G06F16/9535 ,  G06N20/00 ,  G06F16/906

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.

公开(公告)号：US20180137203A1

公开(公告)日：2018-05-17

申请号：US15807869

申请日：2017-11-09

Applicant: HubSpot Inc.

Inventor： Tim Hennekey ,  Asher Krim ,  Angela DeFranco ,  Theodore Cleveland ,  Jonathan Meharry ,  Matthew Barby

IPC: G06F17/30 ,  G06N99/00

CPC classification number: G06F16/9535 ,  G06N20/00

Abstract: The present system and method relate to enhancements to online search engines and search result rankings, which can benefit from large scale analysis of online content (e.g., Web pages) and vast amounts of information kept and processed from prior searches to develop intelligent associations between various content with one another. Some aspects employ machine learning systems and methods to further enhance the present goals. Other aspects employ novel arrangements of data in data stores to extract best associations and deliver greater search engine rankings to users in an increasingly context-based or personalized type of searching environment.

公开(公告)号：US12271436B2

公开(公告)日：2025-04-08

申请号：US18114657

申请日：2023-02-27

Applicant: HUBSPOT, INC.

Inventor： Christopher O'Donnell ,  Andrew Pitre ,  Matthew Schnitt ,  Emil Sit ,  Tim Hennekey ,  Matt Ball ,  Greg Brown ,  Ze'ev Klapow ,  Zoe Sobin ,  Jared Williams ,  Marc Neuwirth ,  Ricardo Villamil

IPC: G06F16/955 ,  G06F16/951 ,  G06Q30/0201

Abstract: Forward-looking sales activities are poorly served by existing Customer Relationship Managements systems, as the customer information those systems maintain by definition does not include the speculatively interested “leads” pursued in initial sales contacts. An Enrichment database, asynchronously loaded with corporate and optionally individual contact information in anticipation of use, provides real-time access to information in support of such first customer contacts. The Enrichment information may also be used to expedite creation and revision of CRM records.

公开(公告)号：US11604842B1

公开(公告)日：2023-03-14

申请号：US17121300

申请日：2020-12-14

Applicant: HubSpot, Inc.

Inventor： Christopher O'Donnell ,  Andy Pitre ,  Matt Schnitt ,  Emil Sit ,  Tim Hennekey ,  Matt Ball ,  Greg Brown ,  Ze'ev Klapow ,  Zoe Sobin ,  Jared Williams ,  Marc Neuwirth ,  Ricardo Villamil

IPC: G06F16/951 ,  G06Q30/0201 ,  G06F16/955

Abstract: Forward-looking sales activities are poorly served by existing Customer Relationship Managements systems, as the customer information those systems maintain by definition does not include the speculatively interested “leads” pursued in initial sales contacts. An Enrichment database, asynchronously loaded with corporate and optionally individual contact information in anticipation of use, provides real-time access to information in support of such first customer contacts. The Enrichment information may also be used to expedite creation and revision of CRM records.

公开(公告)号：US20230222170A1

公开(公告)日：2023-07-13

申请号：US18114657

申请日：2023-02-27

Applicant: HUBSPOT, INC.

Inventor： Christopher O'Donnell ,  Andrew Pitre ,  Matthew Schnitt ,  Emil Sit ,  Tim Hennekey ,  Matt Ball ,  Greg Brown ,  Ze'ev Klapow ,  Zoe Sobin ,  Jared Williams ,  Marc Neuwirth ,  Ricardo Villamil

IPC: G06F16/955 ,  G06F16/951

CPC classification number: G06F16/9558 ,  G06F16/955 ,  G06F16/951 ,  G06Q30/0201

Abstract: Forward-looking sales activities are poorly served by existing Customer Relationship Managements systems, as the customer information those systems maintain by definition does not include the speculatively interested “leads” pursued in initial sales contacts. An Enrichment database, asynchronously loaded with corporate and optionally individual contact information in anticipation of use, provides real-time access to information in support of such first customer contacts. The Enrichment information may also be used to expedite creation and revision of CRM records.

公开(公告)号：US20210349960A1

公开(公告)日：2021-11-11

申请号：US17443211

申请日：2021-07-22

Applicant: HubSpot, Inc.

Inventor： Tim Hennekey ,  Asher Krim ,  Angela DeFranco ,  Theodore Cleveland ,  Jonathan Meharry ,  Matthew Barby

IPC: G06F16/9535 ,  G06N20/00

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.