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AssigneeWyzant, Inc.
InventorsBenjamin Listyg, Edward Corcoran, Michael Angellotti, Brent Zajaczkowski, Jonathan Gostelow, Jorel Casal, David Jaress
Estimating the term…
A system and method for utilizing automatically generating related subject matter areas to create footer links for a subject matter page of a tutor matching website is disclosed and claimed. In particular, a document embedding algorithm such as word2vec, doc2vec or GloVe can be trained using on a particular subject using pertinent material such as, for example, textbooks, learned papers, and transcripts of lectures. Once trained, the document embedding algorithm can be used to generate a list of related subjects that can be used to automatically build footer links for a particular subject matter page. The related footer links can improve the positioning of the tutor matching website with common Internet search engines. The same document embedding algorithm can be used to identify previously answered questions that may assist a user posing a question to the tutor matching website.
A computer-implemented method for use with a tutor matching website, the method generating footer links for a subject matter webpage, the subject matter webpage being associated with a particular subject, the method performed by at least one processor comprising the steps of:
A computer-implemented method for use with a tutor matching website, the method generating a list of previously answered related questions in response to a user entering a new question, the new question being associated with a particular subject, the method performed by at least one processor comprising the steps of:
Dependencies are inferred from the claim text.