Abstract: In one example, a method includes generating, responsive to receiving a request for a recommendation for a group of users and based on first privacy level data for users of the group, an original list of recommendations for the group. In this example, the method further includes evaluating, by respective computational assistants associated with the users of the group and based on respective second privacy level data for the users of the group, recommendations from the original list of recommendations for inclusion in a pruned list of recommendations for the group, wherein the second privacy level is more restricted than the first privacy level. In this example, the method further includes, in response to the pruned list of recommendations including at least one recommendation, outputting, for presentation to the users of the group, the pruned list of recommendations.

Abstract: In one example, a method includes generating, responsive to receiving a request for a recommendation for a group of users and based on first privacy level data for users of the group, an original list of recommendations for the group. In this example, the method further includes evaluating, by respective computational assistants associated with the users of the group and based on respective second privacy level data for the users of the group, recommendations from the original list of recommendations for inclusion in a pruned list of recommendations for the group, wherein the second privacy level is more restricted than the first privacy level. In this example, the method further includes, in response to the pruned list of recommendations including at least one recommendation, outputting, for presentation to the users of the group, the pruned list of recommendations.

Abstract: In one example, a method includes generating, responsive to receiving a request for a recommendation for a group of users and based on first privacy level data for users of the group, an original list of recommendations for the group. In this example, the method further includes evaluating, by respective computational assistants associated with the users of the group and based on respective second privacy level data for the users of the group, recommendations from the original list of recommendations for inclusion in a pruned list of recommendations for the group, wherein the second privacy level is more restricted than the first privacy level. In this example, the method further includes, in response to the pruned list of recommendations including at least one recommendation, outputting, for presentation to the users of the group, the pruned list of recommendations.

Abstract: In one example, a method includes generating, responsive to receiving a request for a recommendation for a group of users and based on first privacy level data for users of the group, an original list of recommendations for the group. In this example, the method further includes evaluating, by respective computational assistants associated with the users of the group and based on respective second privacy level data for the users of the group, recommendations from the original list of recommendations for inclusion in a pruned list of recommendations for the group, wherein the second privacy level is more restricted than the first privacy level. In this example, the method further includes, in response to the pruned list of recommendations including at least one recommendation, outputting, for presentation to the users of the group, the pruned list of recommendations.