Ranking and marking messages in a group-based communication system using machine learning techniques

An apparatus for automatically marking messages in a group-based communication system for later, comprising:

• a processor;
• memory coupled with the processor;
• and
• instructions stored in the memory and executable by the processor to cause the apparatus to:
• receive a new message posted to a group-based communication channel of the group-based communication system, wherein a first user is associated with the group-based communication channel and a second user authored the new message;
• input one or more features associated with the new message, the group-based communication channel, the first user, the second user, or a combination thereof into a machine learning model, the one or more features comprising at least a semantic embedding of the new message;
• determine, in response to the inputting the one or more features into the machine learning model, an output of the machine learning model indicating to mark the new message for later for the first user;
• and
• send, for display in a user interface of a user device operated by the first user, an indication marking the new message for later based at least in part on the output of the machine learning model.

A non-transitory computer-readable medium storing code for automatically marking messages in a group-based communication system for later, the code comprising instructions executable by a processor to:

• receive a new message posted to a group-based communication channel of the group-based communication system, wherein a first user is associated with the group-based communication channel and a second user authored the new message;
• input one or more features associated with the new message, the group-based communication channel, the first user, the second user, or a combination thereof into a machine learning model, the one or more features comprising at least a semantic embedding of the new message;
• determine, in response to the inputting the one or more features into the machine learning model, an output of the machine learning model indicating to mark the new message for later for the first user;
• and
• send, for display in a user interface of a user device operated by the first user, an indication marking the new message for later based at least in part on the output of the machine learning model.