Managing data entities using collaborative filtering

An apparatus for managing a plurality of data entities comprising:

• at least one module to:
• collect data pertaining to transactions by a plurality of users with respect to the data entities, wherein the data entities are available for use on user devices,
• apply a weighted collaborative filtering operation on the data entities to determine similarity levels of the data entities with respect to other data entities by using the collected data to determine values for a plurality of weights to be applied in the weighted collaborative filtering operation,
• rank remaining ones of the data entities according to the determined similarities for at least one of the data entities while discounting for popularities of the data entities, and
• present identifications of at least another one of the data entities having the highest rankings to the at least one of the data entities to a first user to recommend the at least another one of the data entities for use by the first user;
• and
• a processor to implement the at least one module.

A non-transitory computer readable storage medium on which is embedded a computer program, said computer program implementing a method for managing a plurality of data entities, said computer program comprising computer readable code to:

• collect data pertaining to transactions by a plurality of users with respect to the data entities, wherein the data entities are available for use on user devices, and wherein the transactions comprise installations, deletions, and usage;
• apply a weighted collaborative filtering operation on the data entities to determine similarity levels of the data entities with respect to each other by using the collected data to determine values for a plurality of weights to be applied in the weighted collaborative filtering operation;
• for at least one of the data entities, rank remaining ones of the data entities according to the determined similarities while discounting for popularities of the data entities;
• and
• present identifications of at least another one of the data entities having the highest rankings to the at least one of the data entities to a first user to recommend the at least another one of the data entities for use by the first user.