Quick Learning Recommendation Systems for Baskets of Goods

A non-transitory computer readable medium having instructions stored thereon that, when executed by a processor, cause the processor to provide a recommendation for an additional item in response to receiving a basket of goods, the providing the recommendation comprising:

• determining a type for the basket of goods from a set of basket types;
• receiving a set of additional targeted items as target recommendations;
• receiving a history of received types of baskets of goods;
• iteratively performing a clustering into a plurality of clusters of each of the basket types based on the history of received types of baskets of goods, and preference updating for each of the targeted items into each of the plurality of clusters, the iteratively performing, after a plurality of iterations, outputting a sequence of mappings and a sequence of preference parameters;
• generating a frequency of tabulation of mappings from the sequence of mappings;
• and
• generating the recommendation based on the sequence of mappings, the sequence of preference parameters and the frequency of tabulation of mappings.

A recommendation system comprising:

• a processor coupled to a storage device that stores instruction, the processor executing the instructions to provide a recommendation for an additional item in response to receiving a basket of goods;
• the processor determining a type for the basket of goods from a set of basket types, receiving a set of additional targeted items as target recommendations and receiving a history of received types of baskets of goods;
• the processor iteratively performing a clustering into a plurality of clusters of each of the basket types based on the history of received types of baskets of goods, and preference updating for each of the targeted items into each of the plurality of clusters, the iteratively performing, and after a plurality of iterations, outputting a sequence of mappings and a sequence of preference parameters;
• the processor generating a frequency of tabulation of mappings from the sequence of mappings and generating the recommendation based on the sequence of mappings, the sequence of preference parameters and the frequency of tabulation of mappings.