Atlassian Corporation Pty Ltd.

Atlassian Inc.

Atlassian US, Inc.

Mike Ortman

Geoff Sims

Matthew David Hunter

Michael Fulthorp

Jeff Nelson

Described herein is a computer implemented method for identifying one or more documents of potential relevance to an input query. The method comprises receiving the input query; processing input text from the query to generate an input query vector; accessing document records from a record database, each document record including a document vector; generating a document similarity score in respect of each accessed document, the document similarity score for a given document record being generated using the document vector for the given document record and the input query vector, the document similarity score for a given document record indicating the similarity of the input text to a document that the given document record is in respect of; and identifying one or more potentially relevant document records based on their document similarity scores.

Content discovery systems and methods

A product may be associated with a linked document, a link to which is included in a linking document. Associating the linked document with the product may include accessing document linkage data, identifying a relevant linkage record from the linkage data, using a linking document identifier determined from the relevant linkage record to access linking document information in respect of the linking document, processing the linking document information to identify a first product to which the first linking document relates, and associating the first product with the linked document.

Associating product with document using document linkage data

Described herein is a computer implemented method comprising accessing a document, generating a document vector in respect of the document, and generating a sentence vector for each sentence in the document. The method further comprises calculating a sentence similarity score for each sentence in the document which, for a given sentence, is calculated based on a similarity between the sentence vector for the given sentence and the document vector, and identifying one or more representative document sentences for inclusion in a document summary.

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San Francisco, CA, United States of America

Mike Ortman