International Business Machines Corporation

Steven Lafalce

Steven N Burchfield

James A O'Connor

Michael Terrence Cohoon

Maurice M Materise

Morey Materise

James A Oconnor

Aspects of the invention include receiving a new problem record. A corpus of existing problem records that were previously assigned to problem record owners and grouped into documents based on their assigned problem record owners is accessed. Each document in the corpus has an assigned problem record owner. A document in the corpus that is most similar to the new problem record is identified. The identifying includes comparing text in the new problem record to text in the documents. The new problem record is assigned to the problem record owner that is assigned to the identified document.

Assigning a new problem record based on a similarity to previous problem records

Embodiments of the invention include method, systems and computer program products for using a target similarity calculation to identify relevant content in a corpus of documents or records. The computer-implemented method includes creating, by a processor, a term frequency (TF) list for one or more documents of a corpus. The processor calculates an inverse document frequency (IDF) for each listed term. The processor calculates a TF-IDF for each listed term. The processor determines a similarity ranking for one or more documents of the corpus using a target similarity calculation using the TF-IDF for each listed term.

Document relevance determination for a corpus

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Salt Point, NY, United States of America

Steven Lafalce