Deep learning of entity resolution rules

A system having one or more computer processors, the system configured to:

• receive historical pairs of entities including labels indicating whether the historical pairs of entities match;
• determine a set of rules for determining whether a pair of entities are matching using the historical pairs of entities, wherein the set of rules comprises a plurality of conditions, each condition representing an instance where the pair of entities could be matching;
• develop, using a deep neural network, an entity resolution model based on the historical pairs of entities, wherein the entity resolution model comprises the set of rules;
• receive a new pair of entities;
• apply the entity resolution model to the new pair of entities;
• determine whether one or more rules from the set of rules are satisfied for the new pair of entities;
• and
• categorize the new pair of entities as matching or not matching, based on whether the one or more rules are satisfied.

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

• receiving historical pairs of entities including labels indicating whether the historical pairs of entities match;
• determining a set of rules for determining whether a pair of entities are matching using the historical pairs of entities, wherein the set of rules comprises a plurality of conditions, each condition representing an instance where the pair of entities could be matching;
• developing, using a deep neural network, an entity resolution model based on the historical pairs of entities, wherein the entity resolution model comprises the set of rules;
• receiving a new pair of entities;
• applying the entity resolution model to the new pair of entities;
• determining whether one or more rules from the set of rules are satisfied for the new pair of entities;
• and
• categorizing the new pair of entities as matching or not matching, based on whether the one or more rules are satisfied.