Abstract: 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.

Abstract: Described herein is a computer implemented method for identifying one or more classifications for a particular ticket maintained by an issue tracking system. The method comprises: receiving data in respect of the particular ticket; retrieving cluster data in respect of a set of clusters; calculating cluster membership data in respect of the particular ticket; and identifying, based on the cluster membership data, one or more specific clusters from the set of clusters. For each specific cluster a classification associated with the specific cluster is identified and returned.