Method for retrieving a recommendation from a knowledge database of a ticketing system
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United States of America
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Dec 31, 2024
Grant Date -
Jan 30, 2020
app pub date -
Jan 23, 2018
filing date -
Jan 23, 2018
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Abstract
Provided is a ticketing system adapted to retrieve a recommendation from a knowledge database in response to a received query, the ticketing system including a processor adapted to perform semantic similarity learning in textual description pairs by calculating similarity scores for similarities between the received query and tickets stored in the knowledge database of the ticketing system, wherein each textual description pair includes a textual description of the received query and a textual description of a ticket of a plurality of tickets stored in the knowledge database of the ticketing system, wherein the ticket having the maximum similarity score is identified and a solution of the identified ticket is output as the retrieved recommendation for the received query by the ticketing system.
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