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Artificial intelligence engine for generating semantic directions for websites for automated entity targeting to mapped identities

一种实体、语义的技术，应用在语义分析、网络数据检索、网络数据查询等方向，能够解决相同语言和映射、困难设置体验等问题

Pending Publication Date: 2021-05-07
THE DUN & BRADSTREET CORPORATION
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] It also forces a difficult setup experience by making marketers search up to 2000 or more words to find words related to their products
The same language and mapping issues arise even when keywords can be chosen

Method used

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  • Artificial intelligence engine for generating semantic directions for websites for automated entity targeting to mapped identities
  • Artificial intelligence engine for generating semantic directions for websites for automated entity targeting to mapped identities
  • Artificial intelligence engine for generating semantic directions for websites for automated entity targeting to mapped identities

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Embodiment Construction

[0046]Various embodiments will now be described more fully hereinafter with reference to the accompanying drawings, which form a part hereof, and which show by way of illustration specific embodiments in which the invention may be practiced. Embodiments may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the embodiments to those skilled in the art. Various implementations may be methods, systems, media, or devices, among other things. Therefore, the following detailed description should not be construed in a limiting sense.

[0047] Throughout the specification and claims, the following terms take the meanings explicitly associated therewith, unless the context clearly dictates otherwise. The term "herein" refers to the specification, claims and drawings associated with the p...

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Abstract

The present invention relates to a method and system for employing a Language Processing machine learning Artificial Intelligence engine to employ word embeddings and term frequency-inverse document frequency to create numerical representations of document meaning in a high-dimensional semantic space or an overall semantic direction. This semantic direction can be used to quantitatively measure semantic similarity between online content consumed by a potential prospect and a given product or product family. The AI can automate the process of creating audiences for on-line marketplaces for programmatic advertising purposes by using representative product descriptions, such as a grouping of product descriptions for scalable, cloud-based databases, and then creating a hyper-focused intent-based audience based on companies that are showing a significant increase in intent.

Description

[0001] Cross References to Related Applications [0002] This application claims foreign priority to U.S. Provisional Patent Application No. 62 / 699,983, filed July 18, 2018, which is incorporated herein by reference in its entirety. [0003] Context of the disclosure [0004] 1. Technical field [0005] The present disclosure relates to systems and methods for business intelligence, customer relationship management (CRM) systems, marketing automation platforms, and web analytics systems. [0006] 2. Background technology [0007] Current systems for analyzing intent, such as those used by CRM systems, business intelligence, and web analytics systems, force marketers to choose to use a set of individual words to determine what a potential prospect might be searching for in relation to their Product related content. [0008] Marketers must make a mental map between their products and situations and these arbitrarily defined sets of keywords. [0009] This leads to inaccurate ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06Q10/06
CPCG06F40/30G06Q30/0201G06F16/374G06F16/3344G06F16/313G06N20/00H04L67/02H04L67/52G06N7/00G06F16/953G06F18/24
Inventor 亚历山大·T·施韦尔默詹姆斯·贝弗里奇达内·安东尼·麦考莱阿努迪特·维克拉姆
Owner THE DUN & BRADSTREET CORPORATION
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