Method and system for processing social media data for content recommendation

A system for processing social media data for content recommendation to a user, said system comprising:

• a data extracting processor configured to:
• extract a set of entity data from said social media data of said user;
• extract semantic data of each entity data in said extracted set of entity data from one or more knowledge databases over a communication network;
• and
• a profile generating processor configured to:
• generate a user-interest vector of said user based on at least a mapping of said extracted semantic data of said each entity data with one or more leaf nodes in an interest taxonomy, wherein said user-interest vector is utilized for recommending targeted content to said user.

A computer program product for use with a computer, said computer program product comprising a non-transitory computer readable medium, wherein said non-transitory computer readable medium stores a computer program code for processing social media data for content recommendation to a user, wherein said computer program code is executable by one or more processors in a computing device to:

• extract a set of entity data from said social media data of said user extracted from one or more social media platforms over a communication network;
• extract semantic data of each entity data in said extracted set of entity data from one or more knowledge databases over said communication network;
• and
• generate a user-interest vector of said user based on at least a mapping of said extracted semantic data of said each entity data with one or more leaf nodes in an interest taxonomy, wherein said user-interest vector is utilized for recommending targeted content to said user.