Method and system for exploring a personal interest space

A non-transitory, computer-readable medium having information recorded thereon for exploring interests of a user, when read by at least one processor, effectuate operations comprising:

• obtaining a user profile of the user;
• selecting, based on the user profile, a user subset based decision tree that is trained based on training data associated with one or more other users similar to the user;
• determining, based on a user personal interest space, one or more channels subscribed by the user;
• selecting, based on the one or more subscribed channels, a channel subset based decision tree that is trained based on training data associated with channel features related to the one or more subscribed channels;
• retrieving a generic decision tree that is trained based on training data associated with a general population;
• creating a personal decision forest including the user subset based decision tree, the channel subset based decision tree, and the generic decision tree;
• updating the user personal interest space based on an answer to a question, wherein the question is selected by an interest engine based on the personal decision forest;
• and
• generating, to the user, an online content stream based on the updated user personal interest space.

A system for exploring interests of a user, the system comprising:

• memory storing computer program instructions;
• and
• one or more processors that, in response to executing the computer program instructions, effectuate operations comprising:
• obtaining a user profile of the user;
• selecting, based on the user profile, a user subset based decision tree that is trained based on training data associated with one or more other users similar to the user;
• determining, based on a user personal interest space, one or more channels subscribed by the user;
• selecting, based on the one or more subscribed channels, a channel subset based decision tree that is trained based on training data associated with channel features related to the one or more subscribed channels;
• retrieving a generic decision tree that is trained based on training data associated with a general population;
• creating a personal decision forest including the user subset based decision tree, the channel subset based decision tree, and the generic decision tree;
• updating the user personal interest space based on an answer to a question, wherein the question is selected by an interest engine based on the personal decision forest;
• and
• generating, to the user, an online content stream based on the updated user personal interest space.