Data-Intensive Real-Estate Information Processing and Display through an Integrated Online Service

1527058艾伯塔省公司正在开发一种在线服务，该服务可以处理、分析、汇总和显示 向最终用户提供房地产定价数据和相关信息。该系统将主要由两个部分组成 部分：数据密集型后端系统和新颖的图形用户界面，用于在 前台。作为信息处理和可视化应用的重要组成部分，后台系统 将公开房地产评估信息和近期房地产交易信息 MLS列表作为输入，使用统计学习方法计算每一处房产的自己的价格估计。我们的 研究小组将设计有效的房地产价格评估算法，基于一种新的 潜在因子模型和稀疏矩阵补全的应用，它们都是最新的 统计学习理论的进展。我们还将设计统计程序，以提供汇总 关于社区、社区和社区的多个层面的市场趋势摘要 子市场。然后，我们将与合作伙伴公司合作，将开发的算法整合到 自动检索、分析和显示数据的在线软件系统。一种新型的图形用户 将以网络服务和移动应用程序的形式设计和开发界面，以方便数据 在微观和宏观尺度上的可视化。

1527058 Alberta Inc. is developing an online service that processes, analyzes, summarizes and displays real-estate property pricing data and related information to end users. The system will mainly consist of two parts: a data-intensive backend system and a novel graphic user interface for information display in the frontend. As an essential part of the information processing and visualization application, the backend system will take public real-estate property assessment information and recent real-estate transaction information on MLS listings as inputs, compute its own price estimate for each property using statistical learning methods. Our research group will design effective real-estate property price estimation algorithms based on a novel application of latent factor models and sparse matrix completion, which are among the most recent advancements in statistical learning theory. We will also design the statistical procedures to provide aggregate summary of the market trend on multiple levels pertaining to the communities, neighbourhoods and submarkets. Then, we will collaborate with the partner company to incorporate the developed algorithms into an online software system that automatically retrieves, analyses and displays data. A novel graphic user interface will be designed and developed in the forms of both a web service and a mobile app to facilitate data visualization on micro as well as macro scales.