Hi folks, as I know that many on this list are interested in recommendation algos, look at http://wiki.github.com/tinkerpop/gremlin/linkeddata-sail for an example of a music recommendation (could really be anything) based on Grammar Based Random Walkers weighted with Spreading Activation, done by Marko Rodriguez. This runs directly on LinkedData (no local data to start with) and takes about 30s. After that, the URIs are cached in a local SAIL instance (e.g. Neo4j) and speed up things to sub-second speed of course.
It's a very good description on what is going, IMHO a great read for any graph/recommendation algo geek! Cheers, /peter neubauer COO and Sales, Neo Technology GTalk: neubauer.peter Skype peter.neubauer Phone +46 704 106975 LinkedIn http://www.linkedin.com/in/neubauer Twitter http://twitter.com/peterneubauer http://www.neo4j.org - Relationships count. http://gremlin.tinkerpop.com - PageRank in 2 lines of code. http://www.linkedprocess.org - Computing at LinkedData scale. _______________________________________________ Neo mailing list User@lists.neo4j.org https://lists.neo4j.org/mailman/listinfo/user
