Computing personalized probabilistic familiarity based on known artifact data

A computer program product comprising a computer readable storage medium having stored thereon:

• program instructions to receive a first dataset pertaining to a first user;
• program instructions to build, utilizing the first dataset, an ontology of artifacts known to the first user, where the ontology includes a domain of food and a plurality of artifacts that include food recipes, and where the artifacts have corresponding characteristics that include food ingredients;
• program instructions to calculate a prior probability distribution for each artifact of the ontology using a probabilistic familiarity algorithm, wherein calculating the prior probability distribution for a given artifact using the probabilistic familiarity algorithm includes:
• utilizing ontology closeness, a social proximity measure, and a temporal proximity measure to create a weighted frequency for the given artifact, the weighted frequency corresponding to the prior probability distribution;
• program instructions to receive an identity of a first artifact, wherein the first artifact is not included in the ontology;
• and
• program instructions to calculate a probabilistic familiarity value for the first artifact with respect to the first user by adding the first artifact to the set of artifacts and calculating the first artifact's prior probability distribution using the probabilistic familiarity algorithm.

A computer system comprising:

• a processor(s) set;
• and
• a computer readable storage medium;
• wherein:
• the processor set is structured, located, connected and/or programmed to run program instructions stored on the computer readable storage medium;
• and
• the stored program instructions include:
• program instructions to receive a first dataset pertaining to a first user;
• program instructions to build, utilizing the first dataset, an ontology of artifacts known to the first user, where the ontology includes a domain of food and a plurality of artifacts that include food recipes, and where the artifacts have corresponding characteristics that include food ingredients;
• program instructions to calculate a prior probability distribution for each artifact of the ontology using a probabilistic familiarity algorithm, wherein calculating the prior probability distribution for a given artifact using the probabilistic familiarity algorithm includes:
• utilizing ontology closeness, a social proximity measure, and a temporal proximity measure to create a weighted frequency for the given artifact, the weighted frequency corresponding to the prior probability distribution;
• program instructions to receive an identity of a first artifact, wherein the first artifact is not included in the ontology;
• and
• program instructions to calculate a probabilistic familiarity value for the first artifact with respect to the first user by adding the first artifact to the set of artifacts and calculating the first artifact's prior probability distribution using the probabilistic familiarity algorithm.