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I suggest that developers rethink the data model of the reply of the fuzzy search of Consolidated Screening List, and consider assigning the score not to the whole result, but to each "also known as" alias.
For example, query for Chris Huynh returns WONG, Moon Chi as one of the results. Obviously these names have nothing in common, but only one of his many "also known as" names is - Chishu HU. Accordingly, the user who received this result will have to "scan" all "also known as" names to figure one which one produced the hit. If the score was assigned to each "also known as" name, it would be easier, because only one of them probably would have high score.
Another example - fuzzy search for Chaiyan Chhay, which returns LAI, Leonard also known as LAI, Yong Chian. By all signs it's only the latter that has high score, so it would help if the reply indicated that.
The text was updated successfully, but these errors were encountered:
I suggest that developers rethink the data model of the reply of the fuzzy search of Consolidated Screening List, and consider assigning the score not to the whole result, but to each "also known as" alias.
For example, query for Chris Huynh returns WONG, Moon Chi as one of the results. Obviously these names have nothing in common, but only one of his many "also known as" names is - Chishu HU. Accordingly, the user who received this result will have to "scan" all "also known as" names to figure one which one produced the hit. If the score was assigned to each "also known as" name, it would be easier, because only one of them probably would have high score.
Another example - fuzzy search for Chaiyan Chhay, which returns LAI, Leonard also known as LAI, Yong Chian. By all signs it's only the latter that has high score, so it would help if the reply indicated that.
The text was updated successfully, but these errors were encountered: