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62match
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4 co-citations1 shared tech1 shared categorybooks-and-literature
60match
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60match
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60match
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59match
jflorencebooks.com
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2 co-citations1 shared tech1 shared categoryfiction
58match
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2 co-citations1 shared tech1 shared categorybooks-and-literature
58match
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2 co-citations1 shared tech1 shared categorybooks-and-literature
58match
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3 co-citations1 shared tech1 shared categoryfiction
57match
jenniferjboutwell.com
I See You - Jennifer J. Boutwell - I See You - Jennifer J. Boutwell
2 co-citations1 shared tech1 shared categorybooks-and-literature
57match
bairink.com
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2 co-citations1 shared tech1 shared categorybooks-and-literature
56match
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Home Page | Gerald Rochelle
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56match
booksfromarmenia.com
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56match
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April Kerner - Home
1 co-citations1 shared tech1 shared categorybooks-and-literature
55match
hawaiilibrary.com
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1 co-citations1 shared tech1 shared categorybooks-and-literature
55match
georgelbristol.com
George L. Bristol
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55match
jeffgordinier.com
Jeff Gordinier - Writer
2 co-citations1 shared tech1 shared categorybooks-and-literature
54match
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How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.