In technical jargon, it reinterprets the incident edges in the adjacency matrix as sparse high dimensional vector,
and uses cosine similarity to find the nearest neighbors nodes within this feature-space.
How does it work?
In plain English, this service looks at which websites link to a particular target website,
and then it ranks websites that are popular among those linking websites using a method commonly
used in recommendation algorithms.