Abstract: An interconnect structure includes a dielectric layer, a first conductive feature, a hard mask layer, a conductive layer, and a capping layer. The first conductive feature is disposed in the dielectric layer. The hard mask layer is disposed on the first conductive feature. The conductive layer includes a first portion and a second portion, the first portion of the conductive layer is disposed over at least a first portion of the hard mask layer, and the second portion of the conductive layer is disposed over the dielectric layer. The hard mask layer and the conductive layer are formed by different materials. The capping layer is disposed on the dielectric layer and the conductive layer.

Abstract: To automatically evaluate the reasonable price of real estate according to the housing data, the present invention discloses a novel intelligent property evaluation system. The system includes the following components: a housing data input system, a pre-processing filter, a feature extractor, a housing price trainer, and a housing price predictor, wherein the housing price predictor further includes a regression model generator and a decision integrator. The pre-processing filter is used to filter unreasonable samples from housing data and integrate synonymous features. The feature extractor is used to choose required variables of housing price model. The housing price trainer generates housing price model which is trained by a great amount of housing data. The housing price predictor then generates a prediction by the trained model. Furthermore, to maintain the accuracy of prediction under the social evolution, the housing price predictor could be regularly or irregularly updated by a rolling-based method.