Abstract: Apparatus and associated methods relate to calculating a single composite score that indicates an atmospheric environment quality level of a building. Such a composite score is calculated using sensors from three distinct types of atmospheric environmental categories: i) thermal comfort; ii) ventilation; and iii) air quality. Because the sensors used to detect these distinct types of atmospheric environmental categories are indicative of dissimilar metrics of quality of the atmospheric environment, the dissimilar metrics are normalized so as to be combinable. The dissimilar metrics are normalized based on measures of acceptability of the metrics. Each of the dissimilar metrics is given the same normalized score when the dissimilar metrics correspond to the same level of acceptability for that metric. The levels of acceptability may be determined based on one or more building industry standards.

Abstract: Apparatus and associated methods relate to calculating a single composite score that indicates an atmospheric environment quality level of a building. Such a composite score is calculated using sensors from three distinct types of atmospheric environmental categories: i) thermal comfort; ii) ventilation; and iii) air quality. Because the sensors used to detect these distinct types of atmospheric environmental categories are indicative of dissimilar metrics of quality of the atmospheric environment, the dissimilar metrics are normalized so as to be combinable. The dissimilar metrics are normalized based on measures of acceptability of the metrics. Each of the dissimilar metrics is given the same normalized score when the dissimilar metrics correspond to the same level of acceptability for that metric. The levels of acceptability may be determined based on one or more building industry standards.

Abstract: Social networking system users may create events where a group of other users invited to the event meet at a specified time and location. While an inviting user initially specifies the group of users to invite to the event, the social networking system suggests additional users to invite to the event. The social networking system suggests additional users based on a prediction that the users would attend the event if invited. Various factors may be used to make the prediction, such as an affinity between the inviting user and the other users, the availability of the other users at the time of the event and/or the proximity of the other users to the location of the event. Invitations to the suggested additional users may be automatically sent or sent to a set of the additional users selected by the inviting user.

Abstract: Social networking system users may create events where a group of other users invited to the event meet at a specified time and location. While an inviting user initially specifies the group of users to invite to the event, the social networking system suggests additional users to invite to the event. The social networking system suggests additional users based on a prediction that the users would attend the event if invited. Various factors may be used to make the prediction, such as an affinity between the inviting user and the other users, the availability of the other users at the time of the event and/or the proximity of the other users to the location of the event. Invitations to the suggested additional users may be automatically sent or sent to a set of the additional users selected by the inviting user.