Personalization Aggregate Content Item Recommendations

In some implementations, a computing system can deliver personalized content while preserving user privacy. For example, the computing system can include a content server that filters and selects aggregate content items (e.g., magazine issues, newspaper issues, etc.) that are relevant to a subject matter tag (e.g., investment identifier) received in a request from a client device. The content server can send the selected aggregate content items to the requesting client. Upon receiving the aggregate content items, requesting client device can evaluate and select aggregate content items to present to the user based on user preferences stored on the user device. The selected aggregate content items can then be presented on a display of the user device. Thus, personalization of aggregate content item selection and presentation can be performed without distributing user preference data outside of the user device thereby preserving user privacy.