Abstract: Identifying collaboratively filtered content recommendations based on user activity data collected from users in an electronic environment is disclosed. The user activity data includes information relating to user-engagement indications of the users. Multiple connection pairs are identified based on the user activity data, with each connection pair including a potential target document and a candidate recommendation document. A connection strength is determined for each of the identified connection pairs. An overall grade is generated for a set of candidate connection pairs of the plurality of connection pairs, wherein the overall grade is based on the respective connection strength associated with each of the set of candidate connection pairs. One or more filtered recommendations for provisioning in connection with the target document based on a comparison of the overall grade associated with each of the set of candidate connection pairs.

Abstract: A server computer receives data indicating a data feed to use to create a feed-based advertisement to represent content, which is to be advertised, of a content provider. The server computer receives the data feed that is associated with the content to be advertised and generates the feed-based advertisement using one or more data elements associated with an item in the data feed. The server computer provides the feed-based advertisement to a user device.