Output a maximum of two similar users (hub) and recommend two products (authority) for each user. Use frequency of purchase as a weight factor.
SELECT * FROM pSALSA (
ON user_product_nodes AS vertices PARTITION BY nodename
ON women_apparel_log AS edges PARTITION BY username
SourceKey ('username')
TargetKey ('product')
EdgeWeight ('frequency')
MaxHubNum ('2')
MaxAuthorityNum ('2')
TeleportProb ('0.15')
RandomWalkLength ('500')
) ORDER BY username, hub_score DESC, authority_score DESC;