Privacy-aware content recommendations

A content consumer endpoint device, comprising:

• a processor;
• and
• a non-transitory computer-readable medium storing instructions which, when executed by the processor, cause the processor to perform operations, the operations comprising:
• collecting content consumption history data for a specific content consumer of a telecommunications network;
• inserting random noise into the content consumption history data to produce anonymized data for the specific content consumer;
• sending the anonymized data for the specific content consumer over the telecommunications network to a centralized device;
• receiving correlation data from the centralized device, wherein the correlation data indicates correlations among a plurality of items of content that is available for consumption via the telecommunications network, wherein the correlations are derived from the anonymized data for the specific content consumer and anonymized data for other content consumers of the telecommunications network, and wherein the anonymized data for the other content consumers is sent to the centralized device by other content consumer endpoint devices;
• predicting a likelihood that the specific content consumer would be interested in a particular item of content of the plurality of items of content, wherein the predicting is based on the content consumption history data and on the received correlation data;
• and
• presenting a recommendation to the specific content consumer of the particular item of content based on the predicted likelihood.

A non-transitory computer-readable medium storing instructions which, when executed by a processor of a content consumer endpoint device, cause the processor to perform operations, the operations comprising:

• collecting content consumption history data for a specific content consumer of a telecommunications network;
• inserting random noise into the content consumption history data to produce anonymized data for the specific content consumer;
• sending the anonymized data for the specific content consumer over the telecommunications network to a centralized device;
• receiving correlation data from the centralized device, wherein the correlation data indicates correlations among a plurality of items of content that is available for consumption via the telecommunications network, wherein the correlations are derived from the anonymized data for the specific content consumer and anonymized data for other content consumers of the telecommunications network, and wherein the anonymized data for the other content consumers is sent to the centralized device by other content consumer endpoint devices;
• predicting a likelihood that the specific content consumer would be interested in a particular item of content of the plurality of items of content, wherein the predicting is based on the content consumption history data and on the received correlation data;
• and
• presenting a recommendation to the specific content consumer of the particular item of content based on the predicted likelihood.