[espeed]

It looks like it's just returning my watched repos -- what type of recommendation algorithm is it running?

[clay]

It might service some of your watched repos because of data quality issues. It uses a very basic nearest neighbor shared item set model. I'm definitely planning on improving the quality of the results in the near future.

[espeed]

Try loading the data into Neo4j and running Gremlin on it (https://github.com/tinkerpop/gremlin/wiki).

Examples...

Ranked similarity search https://groups.google.com/d/msg/neo4j/tuoqDlq45ys/1g1G9nTzjh...

Multi-Item Based Recommendation https://groups.google.com/d/msg/neo4j/XlGGdsSedVw/7pCPqghA84...

Recommendation engine https://groups.google.com/d/msg/neo4j/_dnyanUSmtk/eDhJ6rjNCn...

[aidanfeldman]

There were a few interesting repos in there I hadn't heard of - nice work!