Algorithm for Scoring Partial Matches Between Words

A system comprising:

• one or more hardware processors;
• and
• a memory storing computer-executable instructions, that in response to execution by the one or more hardware processors, causes the system to perform operations comprising:
• receiving a request to determine a similarity score between an input set of words and a stored set of words;
• determining a base similarity score using at least a distance score associated with each pair between the input set and the stored set of words;
• normalizing the base similarity score determined using an average word length from the pairs between the input set and the stored set of words;
• calculating a base penalty score on a number of word pairs included in the pairs between the input set and the stored set of words;
• and
• determining a final similarity score based in part on the base penalty score calculated.

A method comprising:

• receiving a request to determine a similarity score between an input set of words and a stored set of words;
• determining a base similarity score using at least a distance score associated with each pair between the input set and the stored set of words;
• normalizing the base similarity score determined using an average word length from the pairs between the input set and the stored set of words;
• calculating a base penalty score on a number of word pairs included in the pairs between the input set and the stored set of words;
• and
• determining a final similarity score based in part on the base penalty score calculated.

A non-transitory computer readable medium storing computer-executable instructions that in response to execution by one or more hardware processors, causes a payment provider system to perform operations comprising:

• receiving a request to determine a similarity score between an input set of words and a stored set of words;
• determining a base similarity score using at least a distance score associated with each pair between the input set and the stored set of words;
• normalizing the base similarity score determined using an average word length from the pairs between the input set and the stored set of words;
• calculating a base penalty score on a number of word pairs included in the pairs between the input set and the stored set of words;
• and
• determining a final similarity score based in part on the base penalty score calculated.