Rating model generation

A method comprising:

• obtaining a plurality of consumption values, wherein each consumption value indicates whether a consumer among a plurality of consumers has rated an item among a plurality of items;
• obtaining a plurality of rating values, wherein each rating value represents a rating of an item by a consumer for each consumption value indicating that the corresponding consumer rated the corresponding item;
• and
• training, using a processor, a model that estimates consumption values and rating values by utilizing a plurality of consumer attributes for each consumer, a plurality of item attributes for each item, and a plurality of weights for each attribute of each combination of a consumer and an item,
• wherein each estimated consumption value is a function of the plurality of weights for each attribute of each combination of each consumer and each item that corresponds with the estimated consumption value, and each estimated rating value is a function of the plurality of consumer attributes of a consumer that corresponds with the estimated rating value, the plurality of item attributes of an item that corresponds with the estimated rating value, and the plurality of weights that corresponds with the estimated rating value.

A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform operations comprising:

• obtaining a plurality of consumption values, wherein each consumption value indicates whether a consumer among a plurality of consumers has rated an item among a plurality of items;
• obtaining a plurality of rating values, wherein each rating value represents a rating of an item by a consumer for each consumption value indicating that the corresponding consumer rated the corresponding item;
• and
• training a model that estimates consumption values and rating values by utilizing a plurality of consumer attributes for each consumer, a plurality of item attributes for each item, and a plurality of weights for each attribute of each combination of a consumer and an item,
• wherein each estimated consumption value is a function of the plurality of weights for each attribute of each combination of each consumer and each item that corresponds with the estimated consumption value, and each estimated rating value is a function of the plurality of consumer attributes of a consumer that corresponds with the estimated rating value, the plurality of item attributes of an item that corresponds with the estimated rating value, and the plurality of weights that corresponds with the estimated rating value.