System and method for presenting time-relevant content items to a user

A method for presenting time-relevant content items to a user, the method comprising:

• receiving one or more content items on a user device;
• pre-processing the received one or more content items by converting each of the received one or more content items into a machine-readable format;
• analyzing the one or more content items, in the machine-readable format, to:
• identifying contextual meaning and time relevancy of each of the one or more content items by employing one or more Machine Learning (ML) models;
• and
• marking each of the one or more content items as time-relevant and time-irrelevant based on the identified corresponding contextual meaning and time relevancy;
• and
• presenting the one or more content items to the user with corresponding time-relevant and time-irrelevant tags based on the marking.

A computer program product including at least one non-transitory computer-readable storage medium having computer-executable program code portions stored therein, the computer program product is configured to:

• receive one or more content items on a user device;
• pre-process the received one or more content items by converting each of the received one or more content items into a machine-readable format;
• analyze the one or more content items, in the machine-readable format, to:
• identify contextual meaning and time relevancy of each of the one or more content items by employing one or more Machine Learning (ML) models;
• and
• mark each of the one or more content items as time-relevant and time-irrelevant based on the identified corresponding contextual meaning and time relevancy;
• and
• present the one or more content items to the user with corresponding time-relevant and time-irrelevant tags based on the marking.