Abstract: This disclosure provides for systems and methods directed to generating colleague recommendations within a social network service. The systems and methods may include identifying a sample member of a social network service and determining an organizational unit associated with the sample member. The sample member may be associated with prior member activity involving a source member and the organizational unit may represent a department within an organization. The systems and methods may also include identifying various candidate members, where the candidate members are associated with the organizational unit. The systems and methods may also include surfacing the plurality of candidate members to a computer system being operated by the source member.

Abstract: Techniques for generating recommendation cluster within a social network service are described. Consistent with some embodiments, sample members in a social network service are identified. The sample members may be associated with prior member activity involving a source member. A cluster category this then selected based on a member attribute shared by a plurality of the sample members. In turn, a recommendation cluster is generated based on the selected cluster category. Generating the recommendation duster may involve selecting member profiles that match the cluster category. The member profiles selected in this way form the recommendation cluster. One or more of the member profiles of the recommendation cluster are then surfaced to a client device operated by the source member.

Abstract: This disclosure provides for systems and methods directed to generating colleague recommendations within a social network service. The systems and methods may include identifying a sample member of a social network service and determining an organizational unit associated with the sample member. The sample member may be associated with prior member activity involving a source member and the organizational unit may represent a department within an organization. The systems and methods may also include identifying various candidate members, where the candidate members are associated with the organizational unit. The systems and methods may also include surfacing the plurality of candidate members to a computer system being operated by the source member.

Abstract: Techniques for generating recommendation cluster within a social network service are described. Consistent with some embodiments, sample members in a social network service are identified. The sample members may be associated with prior member activity involving a source member. A cluster category this then selected based on a member attribute shared by a plurality of the sample members. In turn, a recommendation cluster is generated based on the selected cluster category. Generating the recommendation duster may involve selecting member profiles that match the cluster category. The member profiles selected in this way form the recommendation cluster. One or more of the member profiles of the recommendation cluster are then surfaced to a client device operated by the source member.