Method for matching user descriptions of technical problem manifestations with system-level problem descriptions
View Patent ↗A computer implemented method of matching user descriptions of technical problem manifestations with system problem descriptions in which system-level symptoms for computer-related problems which map to problem descriptions and recommended fixes are broken into sub-phrases, and an index of association ratios between the system-level symptom sub-phrases and sub-phrases derived from text extracted from corpora related to computer problem symptoms is generated and prioritized. When user-entered text related to a computer-related problem is received, it is searched against the prioritized index, and matches are presented for the user in order of prioritization from which the user can select and run a recommended fix to which the selection is mapped.
1. A computer implemented method of matching user descriptions of technical problem manifestations with system problem descriptions, comprising:
a. receiving from a symptom database at least one system-level symptom for each of a plurality of computer-related problems which maps to a corresponding problem description and a recommended fix for said one of said computer-related problems;
b. breaking each of the system-level symptoms into system-level symptom sub-phrases based on a pre-selected breakdown methodology;
c. generating a list of association ratios between symptom sub-phrases derived from text extracted from corpora related to computer problem symptoms and the system-level symptom sub-phrases based upon a pre-selected association methodology, each of which derived sub-phrases is linked back to the corresponding problem description, said association ratios being based on a degree of closeness of matching relationship between the symptom sub-phrases derived from text extracted from corpora related to computer problem symptoms and the system-level symptom sub-phrases;
d. generating in a prioritized index of symptom association (PISA) database an index of prioritized association ratios between the derived symptom sub-phrases and the system-level symptom sub-phrases based on a pre-selected ranking methodology, said index of prioritized association ratios representing an arrangement of the association ratios in order of the degrees of closeness of matching relationships between respective symptom sub-phrases derived from text extracted from corpora related to computer problem symptoms and the system-level symptom sub-phrases;
e. receiving user-entered text related to a symptom of a computer-related problem;
f. searching the user-entered text against the prioritized index of symptom associations;
g. presenting a list of textual matches between the user-entered text and the derived and system-level symptom sub-phrases in order of prioritization;
h. receiving a user's selection of a derived or system-level symptom sub-phrase from the list and running the recommended fix to which the selected symptom sub-phrase is mapped;
i. if the computer-related problem is fixed by running the recommended fix, adding the user-entered text to the index of prioritized symptom associations of the PISA database with a corresponding association ratio based on a matching relationship between the user-entered text and the selected system-level symptom sub-phrase; and
j. if the computer-related problem is not fixed by running the recommended fix, prompting the user to enter another selection of a derived or system-level symptom sub-phrase from the list.