As an Investigator, one of the greatest problems is properly identifying the subject of your inquiries. You have to deal with misspelled names, incorrect dates of birth, generational designators, and many other obstacles to identifying the subject in your search results.
Face-filters help when you are looking for images and video. But how do you find your person in the thousands of search results that appear when you search by his name alone?
Clustering search engines help turn-up related search terms and eliminate others. I wrote about Quintura yesterday. Today I will look at Clusty.
Clusty allows you to search several search engines, combines the results, and creates clusters of associated terms based on comparative ranking. This helps you quickly find relevant results that would appear many pages down in the large search engine’s results.
For example, in a Web search on my own name, the clustered results for the Fairfax County Detective, the High School Honors Student, the Geneticist, and the American marathon runner are easily identified as irrelevant.
I would not entirely trust the filtering of Clusty or Quintura to give me the best results. However, after a careful review of the Clusty and Quintura results, I can eliminate unwanted terms (using the NOT operator) and add relevant terms to a long search statement in Google and other search engines to ensure I have the best possible search statement.
Clusty and Quintura are good tools to help you separate your subject from all the other people with the same or similar names.
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