Collaborative filtering as an effective technique for personalized recommendation has attracted many attention

but the current research focuses on the efficiency of the algorithm

in the real world application the storage and access speed of log data plays an important role in the performance.One multi-level distributed data storage method is proposed in which dual hash table and distributed memory storage is combined to relax the I/O bottleneck.Experimental result shows that the performance can be improved significantly.