Scalable Systems and Methods for Generating and Serving Recommendations

A method of controlling a processing capacity of a recommendation engine comprising a plurality of stateless processors and a plurality of memory servers, the method comprising:

• monitoring an available processing bandwidth of said recommendation engine;
• determining if the available processing bandwidth is less than a minimum available processing bandwidth threshold;
• and
• activating an additional stateless processor if the available processing bandwidth is less than the minimum available processing bandwidth threshold.

A scalable recommendation engine comprising:

• a plurality of stateless processors;
• at least one memory server in communication with the plurality of stateless processors, the memory server storing contextual data;
• a router in communication with the plurality of stateless processors to direct a recommendation request to a first stateless processor, wherein the first stateless processor is configured to generate a recommendation using said contextual data;
• and
• a controller in communication with the plurality of processors, the controller configured to monitor an available processing bandwidth of said plurality of processors and to deploy an additional stateless processor if the available processing bandwidth is less than a minimum available processing bandwidth threshold.