Method and system for selecting a highest value digital content

A software program product for selecting a digital content, comprising:

• a non-transitory computer readable storage medium;
• first program instructions for receiving a plurality of samples, each comprises a request having a plurality of values of a plurality of attributes describing structural or functional properties of a device, said sample associated with a success value for a Bernoulli distributed user action event having a campaign having one or more digital content, and a bid rate (BR) of said campaign;
• second program instructions for clustering said plurality of samples in a plurality of homogenous sample groups according to respective said plurality of values;
• third program instructions for identifying a group campaign with a highest valuation for each one of said plurality of sample groups using triangular approximation of the Bernoulli distribution of user action events in said sample group;
• fourth program instructions for receiving a query from a device including a plurality of other values of said plurality of attributes describing structural or functional properties of said device;
• fifth program instructions for selecting one of said plurality of sample groups;
• sixth program instructions for selecting a digital content of said group campaign with highest valuation identified for said selected sample group;
• and
• seventh program instructions for generating a response to said query including said selected digital content;
• wherein said plurality of other values includes at least one certain value for one certain attribute describing a property of said device and said selected sample group has a sample having said certain value of said certain attribute describing said property of another device;
• and
• wherein said first, second, third, fourth, fifth, sixth and seventh program instructions are executed by at least one computerized processor from said non-transitory computer readable storage medium.

A system for selecting a digital content, comprising:

• at least one code storage storing a code;
• at least one hardware processor coupled to said at least one code storage for executing said code for:
• receiving a plurality of samples, each comprises a request having a plurality of values of a plurality of attributes describing structural or functional properties of a device, said sample associated with a success value for a Bernoulli distributed user action event having a campaign having one or more digital contents, and a bid rate (BR) of said campaign;
• clustering said plurality of samples in a plurality of homogenous sample groups according to respective said plurality of values;
• identifying a group campaign with a highest valuation for each one of said plurality of sample groups using triangular approximation of the Bernoulli distribution of user action events in said sample group;
• receiving a query from a device including a plurality of other values of said plurality of attributes describing structural or functional properties of said device;
• selecting one of said plurality of sample groups;
• selecting a digital content of said group campaign with highest valuation identified for said selected sample group;
• and
• generating a response to said query including said selected content;
• wherein said plurality of other values includes at least one certain value for one certain attribute describing a property of said device and said selected sample group has a sample having said certain value of said certain attribute describing said property of another device.