FACILITATION OF SOFTWARE COMPONENT SOFTWARE SUPPORT DOCUMENT LINKS VIA MACHINE LEARNING
개요
발명자
Sven LIEBIG; Laura BRAKE; Daniel MAYER; Sudhir VERMA
IPC 분류
CPC 분류
A support document data store contains multiple support documents for a software component (including a support document identifier and descriptive text). A missing link server automatically identifies some support documents as being potential solving support documents. For each potential solving support document, a machine learning analysis of the descriptive text is performed to generate a link probability. For each document having a link probability above a threshold, a potential link message is automatically generated that includes the document identifier and an associated causing support document identifier. According to some embodiments, potential link messages are compiled into a potential link report for review by a developer to classify them as an actual link or not an actual link. A support document link data store may include indications of causing support documents with an associated links to solving support documents.
원문 (중국어)
A support document data store contains multiple support documents for a software component (including a support document identifier and descriptive text). A missing link server automatically identifies some support documents as being potential solving support documents. For each potential solving support document, a machine learning analysis of the descriptive text is performed to generate a link probability. For each document having a link probability above a threshold, a potential link message is automatically generated that includes the document identifier and an associated causing support document identifier. According to some embodiments, potential link messages are compiled into a potential link report for review by a developer to classify them as an actual link or not an actual link. A support document link data store may include indications of causing support documents with an associated links to solving support documents.