Adaptive learning method and system that matches keywords using a parsed keyword data structure having a hash index based on an unicode value

Abstract

An adaptive learning system and method. This method begins when a problem description provided by the user is received. This problem description may include non-tokenized text. The description is then searched character-by-character against a unique keyword data structure for any user-defined keywords. During this matching process, the routine examines each character in the description and compares it to the keywords in the data structure. Once all keywords are identified, the routine generates a set of solutions associated with at least one of the matching keywords. These solutions are then ranked, for example, based on how many times a respective solution has been used (to solve the problem previously) or how may matching keywords are associated with a respective solution.

Dependencies are inferred from the claim text.