Digital component provision based on contextual feature driven audience interest profiles

A system comprising:

• one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising:
• obtaining, from a client device and during a browsing session conducted by a user of the client device, a plurality of contextual features relating to context within which the browsing session is conducted, wherein the plurality of contextual features do not include any personally-identifiable data of the user;
• generating, using a trained contextual model and based on the plurality of contextual features, an audience interest profile applicable to the user of the client device, wherein the audience interest profile,
• wherein the trained contextual model is trained using training data including a set of historical contextual data aggregated from a plurality of prior browsing sessions and a corresponding set of labels indicating audience interest profiles that each represent an affinity of a particular audience interest segment to one or more content categories, and
• wherein the set of historical contextual data does not include any personally-identifiable data of users from the plurality of prior browsing sessions;
• identifying, based on the generated audience interest profile, a digital component for provision on the client device;
• and
• providing, for display within a page displayed on the client device and during the browsing session, the digital component.

One or more non-transitory computer storage media encoded with computer program instructions that when executed by one or more computers cause the one or more computers to perform operations comprising:

• obtaining, from a client device and during a browsing session conducted by a user of the client device, a plurality of contextual features relating to context within which the browsing session is conducted, wherein the plurality of contextual features do not include any personally-identifiable data of the user;
• generating, using a trained contextual model and based on the plurality of contextual features, an audience interest profile applicable to the user of the client device, wherein the audience interest profile,
• wherein the trained contextual model is trained using training data including a set of historical contextual data aggregated from a plurality of prior browsing sessions and a corresponding set of labels indicating audience interest profiles that each represent an affinity of a particular audience interest segment to one or more content categories, and
• wherein the set of historical contextual data does not include any personally-identifiable data of users from the plurality of prior browsing sessions;
• identifying, based on the generated audience interest profile, a digital component for provision on the client device;
• and
• providing, for display within a page displayed on the client device and during the browsing session, the digital component.