Abstract: A system and method for denoising content are disclosed that using ensemble machine learning, natural language processing and artificial intelligence to remove noisy content from results. In one embodiment, the system and method for denoising content may be used to identify business to business (B2B) relevant content in a corpus of documents.
Abstract: A visual filtering system and method provides an overview of the search landscape while the user is performing a search. The visual filtering allows the user to see the tentative results of a new search filter (and how many search results will be matching) before the user implements the new search filter. The visual filtering system may be implemented in part using a browser extension/plug-in.
Abstract: A job ontology generation and maintenance system and method may be used for B2B sales and marketing activity. The job ontology generation and maintenance system and method uses job titles and artificial intelligence to discover and maintain full job ontologies without requiring any information about the person that holds the title (including even basic details such as name).
Abstract: A system and method for more granular keyword generation wherein the keyword generation may be used for content syndication or other activities. The keyword generation may be performed using a plurality of artificial intelligence models including a topic classifier, a keyword scorer and a keyword ranker and recommender. The keyword generation system and method may discover keywords weighted by business categories.