System and method for recommending online multimedia content

A content recommendation system comprising:

• (i) a memory unit comprising a database that stores at least one of (a) profile of a user, (b) taste said user, (c) affinities of said user, (d) preferences of said user, and (e) past activities of said user, wherein said profile comprises an age group, a gender, a qualification, hobbies and a location of said user;
• and
• (ii) a processor that executes a set of modules comprising:
• (a) a priority computing module executed by said processor that is configured to:
• (i) compute a plurality of first priority indicators for a first set, wherein said first set comprises a first plurality of multimedia content that is obtained based on a first set of parameters;
• and
• (ii) compute a plurality of second priority indicators for a second set, wherein said second set comprises a second plurality of multimedia content that is obtained based on a second set of parameters, and
• (b) a multimedia content personalization module executed by said processor that is configured to prioritize a subset multimedia content targeted to said user based on (i) said plurality of first priority indicators (ii) and said plurality of second priority indicators.

A non-transitory program storage device readable by a computer, and comprising a program of instructions executable by said computer to perform a method of recommending and prioritizing multimedia content targeted to a user, said method comprising:

• obtaining a first set that comprises a first plurality of multimedia content based on a first set of parameters;
• obtaining a second set that comprises a second plurality of multimedia content based on a second set of parameters;
• discarding an undesirable multimedia content from said first set and (b) said second set, wherein said undesirable multimedia content is being flagged as (i) a dead link, (ii) unreliable or objectionable, or (iii) an explicit multimedia content;
• computing a plurality of first priority indicators for said first plurality of multimedia content of said first set based on at least one of (i) relative degree associated with a multimedia content, (ii) recency of activity associated with a multimedia content, (iii) trending of a multimedia content, and (iv) a popularity of at least one of (a) a multimedia content, (b) a celebrity, (c) a channel, or (d) a topic;
• computing a plurality of second priority indicators for said second plurality of multimedia content of said second set based on at least one of (i) profile of a user, (ii) taste of a user, (iii) affinities of said user, (iv) preferences of said user, and (v) past activities of said user, wherein said user profile comprises an age group, a gender, a qualification, hobbies and a location of said user;
• and
• prioritizing a subset of multimedia content targeted to said user based on at least one of (i) said plurality of first priority indicators and (ii) said plurality of second priority indicators.