Abstract: A method for classifying a multimedia content is provided. The method includes processing one or more multimedia content to obtain a set of extracted features, performing a topic modeling on the set of extracted features to obtain a set of topic models, and a set of topic keywords. Each of the topic models includes one or more explicit content topics associated with the one or more multimedia content. The method further includes identifying an explicit content topic from the topics based on the set of topic keywords, and a set of predetermined words, processing a multimedia content to obtain at least one feature, and metadata associated with the multimedia content, deriving a topic distribution based on the at least one feature and the topic models, and classifying the multimedia content as (i) an explicit multimedia content, or (ii) a non-explicit multimedia content based on the explicit content topic, and the topic distribution.

Abstract: A method for recommending premium on-demand multimedia content based on event information is provided. The method includes (i) obtaining the event information associated with a time period, (ii) mapping the event information with structured metadata associated with a plurality of premium on-demand multimedia content, (iii) generating a recommendation for at least one matching premium on-demand multimedia content based on the event information and a structured metadata associated with the at least one matching premium on-demand multimedia content. The time period includes a current time during which an event is trending. A metadata associated with at least one premium multimedia content corresponds to the event information.