Abstract: There is provided a system of estimating a building performance, the system comprising a memory configured to store instructions comprising a method of estimating the building performance and a processor interactively linked to the memory. The processor is configured to execute the method by designating a plurality of building performance variables for estimating the building performance, identifying an interaction network correlating a model building performance representative of the building performance with the designated plurality of building performance variables, selecting a known performance of at least one model structure as a proxy for the building performance, determining learned values for a plurality of initially unknown parameter values from the interaction network and the at least one model structure having the known performance, and utilizing the learned values in the interaction network to estimate the building performance.

Abstract: There is provided a system of estimating a building performance, the system comprising a memory configured to store instructions comprising a method of estimating the building performance and a processor interactively linked to the memory. The processor is configured to execute the method by designating a plurality of building performance variables for estimating the building performance, identifying an interaction network correlating a model building performance representative of the building performance with the designated plurality of building performance variables, selecting a known performance of at least one model structure as a proxy for the building performance, determining learned values for a plurality of initially unknown parameter values from the interaction network and the at least one model structure having the known performance, and utilizing the learned values in the interaction network to estimate the building performance.

Abstract: Methods, systems, and apparatus, including computer program products, for ranking resources. One or more signals reporting one or more actions by the plurality of users related to a respective resource are received, where a reported action is a presentation of the respective resource, an addition of the respective resource, or a deletion of the respective resource. The reported actions include one or more short deletions of the respective resource. A respective long-addition click-through rate (LACTR) is determined for the respective resource based on a number of reported presentations of the respective resource and a difference between a number of reported additions of the respective resource and a number of short deletions of the respective resource. The plurality of resources are ranked based on the respective LACTRs for the plurality of resources. The ranking of the plurality of resources are provided.

Abstract: Methods, systems, and apparatus, including computer program products, for exchanging information in accordance with a protocol. In one aspect, signals reporting user actions related to resources and ranking data ranking the resources based on the signals are exchanged in accordance with a protocol. The protocol defines types of user actions that can be reported by the signals, a format for specifying values for one or more of a set of predefined parameters for qualifying the user actions, a format for specifying one or more subscriber-specific parameters relating to the resources or the user actions, and a format for identifying resources to which the user actions are related using a namespace defined by the subscriber.

Abstract: Methods, systems, and apparatus, including computer program products, for providing ranking services. In one aspect, first signals are received from a first subscriber, and second signals are received from a second subscriber. The signals include information characterizing individual user actions relating to individual ones of first or second resources, respectively, values for one or more predefined parameters, and values for one or more first subscriber-specific parameters that are specific to the first or second subscriber, respectively. First ranking data is generated from the first signals, but not from values for any subscriber-specific parameter that is not a subscriber-specific parameter for the first subscriber. Second ranking data is generated from the second signals, but not from values for any subscriber-specific parameter that is not a subscriber-specific parameter for the second subscriber.