Abstract: A method and system for identifying and classifying Visitor Information tracked on websites to identify Internet Service Providers (ISPs) and non-Internet Service Providers (non-ISPs). The technology employs machine intelligence to train a classifier on firmographically-enriched Visitor Intelligence from website tracking technology. The ISP classifier can distinguish ISPs from non-ISPs to identify website traffic for a given website that is attributable to ISPs.

Abstract: 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.

Abstract: A method and system for identifying and classifying Visitor Information tracked on websites to identify Internet Service Providers (ISPs) and non-Internet Service Providers (non-ISPs). The technology employs machine intelligence to train a classifier on firmographically-enriched Visitor Intelligence from website tracking technology. The ISP classifier can distinguish ISPs from non-ISPs to identify website traffic for a given website that is attributable to ISPs.

Abstract: 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.