5 Machine Learning Libraries That Are Powering Real Estate Technology
The Xome® real estate and auction applications are developed using a combination of data and machine learning. Several libraries are used in machine learning, each offering its own unique set of functionalities. The choice of which machine learning libraries we use has a significant impact on our user’s application experience. Different machine learning libraries offer […]
Powering Home Alerts and Notifications with Elasticsearch Percolator
Unlock the power of Elasticsearch Percolator to enhance home search performance and enable customized notifications.
Improving Property Search Performance with Elasticsearch
Discover how Elasticsearch has improved Xome’s property search capabilities for fast and relevant search responses.
Python 3.11 and Beyond: Speeding Up Computations with Faster CPython
Discover how Python 3.11’s Faster CPython effort is making Python faster for real estate technology and machine learning tasks.
Leveraging Augmented Reality in Real Estate with Xome Zoom
Learn how we are using augmented reality in the Xome Real Estate mobile app to help users virtually discover new properties.
Migrating Digital Assets to the Cloud: A Xome Technology Case Study
Discover how Xome harnessed the power of cloud technology to enhance security, cut costs, and boost user experiences.
Using AI Tools to Increase Engineering Productivity at Xome
Learn how Xome uses AI tools throughout the software development lifecycle to boost productivity and accuracy by up to 80% and deliver innovative real estate solution