Recommending content with assistant systems

One or more computer-readable non-transitory storage media embodying software that is operable when executed to:

• receive, from a client system associated with a first user of an online social network, an indication of a trigger action by the first user, wherein the trigger action is associated with a user activity;
• determine, by the one or more computing systems, a first user context based on the trigger action;
• access, by the one or more computing systems, one or more recommended content objects associated with the first user context;
• calculate, by the one or more computing systems, a recommendation score for each recommended content object;
• generate, by the one or more computing systems, one or more content suggestions comprising one of the one or more recommended content objects, respectively, for the first user to share on the online social network, wherein each content suggestion corresponds to a recommended content object having a recommendation score above a threshold recommendation score;
• and
• send, to the client system in response to the trigger action, instructions for presenting one or more of the content suggestions for the first user to share on the online social network, wherein each content suggestion comprises an activatable element selectable by the first user to share the corresponding recommended content object on the online social network.

A system comprising:

• one or more processors;
• and a non-transitory memory coupled to the processors comprising instructions executable by the processors, the processors operable when executing the instructions to:
• receive, from a client system associated with a first user of an online social network, an indication of a trigger action by the first user, wherein the trigger action is associated with a user activity;
• determine, by the one or more computing systems, a first user context based on the trigger action;
• access, by the one or more computing systems, one or more recommended content objects associated with the first user context;
• calculate, by the one or more computing systems, a recommendation score for each recommended content object;
• generate, by the one or more computing systems, one or more content suggestions comprising one of the one or more recommended content objects, respectively, for the first user to share on the online social network, wherein each content suggestion corresponds to a recommended content object having a recommendation score above a threshold recommendation score;
• and
• send, to the client system in response to the trigger action, instructions for presenting one or more of the content suggestions for the first user to share on the online social network, wherein each content suggestion comprises an activatable element selectable by the first user to share the corresponding recommended content object on the online social network.