Computer implemented methods and apparatus for recommending events

One or more computing devices for recommending an event to a user, the one or more computing devices comprising:

• one or more processors operable to execute one or more instructions to:
• receive, at a server, information identifying a plurality of events, each event having an action and an item, each event associated with a user;
• store data of the plurality of events in a first one or more data tables stored on one or more storage media, the first one or more data tables having an action field, an item field, and a user field;
• analyze the data of the first one or more data tables to generate one or more pairs, each pair including information identifying a set of events and a target event, at least one pair including a first set of events and a first target event, the first set of events including an event having a first action of a first action type and the target event having a second action of a second action type, the first and second action types being different;
• calculate a similarity score for each of the one or more pairs;
• and
• store each of the one or more pairs and the respective similarity score in a second one or more data tables of the one or more storage media, the second one or more data tables having a set field, a target event field, and a similarity score field.

A non-transitory computer-readable storage medium storing instructions executable by a computing device to perform a method for recommending an event to a user, the method comprising:

• receiving, at a server, information identifying a plurality of events, each event having an action and an item, each event associated with a user;
• storing data of the plurality of events in a first one or more data tables stored on one or more storage media, the first one or more data tables having an action field, an item field, and a user field;
• analyzing the data of the first one or more data tables to generate one or more pairs, each pair including information identifying a set of events and a target event, at least one pair including a first set of events and a first target event, the first set of events including an event having a first action of a first action type and the target event having a second action of a second action type, the first and second action types being different;
• calculating a similarity score for each of the one or more pairs;
• and
• storing each of the one or more pairs and the respective similarity score in a second one or more data tables of the one or more storage media, the second one or more data tables having a set field, a target event field, and a similarity score field.