In this paper we explore how two existing collaborative filtering algorithms can be enhanced by the calculation of demographic correlations among the members of user or item neighborhoods. Experiments are executed to evaluate the performance of the proposed approach. Their results show that demographic data can, in some cases, lead to the generation of more accurate predictions.

Methods Compiling data throughout the region and nationally, we considered two spatially based quantitative measures of endemism (relative range restriction): weighted endemism (WE) and corrected weighted endemism (CWE). In both measures, species are weighted by the proportion of their ranges found within the analysis window, with the ranges calculated as the total number of cells in which they...

With industrial integration accelerating in domestic and foreign enterprise, industrial integration is becoming the only way for regional development to break through its bottleneck. Compared with advanced foreign enterprises, there exists a significant gap in regional industrial integration, especially in the urban agglomeration of the energy chemical industries of Urumqi-Changji-Shihezi in Xi...