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ICDIM
2008
IEEE

A holographic associative memory recommender system

9 years 4 months ago
A holographic associative memory recommender system
We describe a recommender system based on Dynamically Structured Holographic Memory (DSHM), a cognitive model of associative memory that uses holographic reduced representations as the basis for its encoding of object associations. We compare this recommender to a conventional user-based collaborative filtering algorithm on three datasets: MovieLens, and two bibliographic datasets such as those typically found in a digital library. Off-line experiments show that the holographic recommender is competitive in accuracy for predicting movie preferences and more accurate than collaborative filtering on very sparse data sets. However, DSHM requires significant amounts of computational resources which may may require a distributed implementation for it to be practical as a recommender for large data sets.
Matthew Rutledge-Taylor, Andre Vellino, Robert L.
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICDIM
Authors Matthew Rutledge-Taylor, Andre Vellino, Robert L. West
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