Using BigDL on Apache Spark to Improve MLS Real Estate Search (Sergey Ermolin and David Wetzel)

165 views · Published 28 September 2018 · 29:31 · Indexed 6 November 2026

Channel: Databricks · 2018 · Science & Technology

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Sergey Ermolin, a technical program manager and Solutions Architect for deep learning, and David Wetzel, a MLSListings’ Chief Operations Officer, discuss how BigDL-enabled Deep Learning analysis of photos attached to property listings in Multiple Listings Services database allowed us to extract image features and identify similar-looking properties. We leveraged this information to in real-time property search application to improve the relevancy of user search results. Imagine identifying a property listing photo you like and having the system suggest other listings you should also review. Traditional real-estate MLS (multiple-listings services) search methods rely on SQL-type queries to search and serve real-estate listings results.



Learn more here: https://databricks.com/session/using-bigdl-on-apache-spark-to-improve-the-mls-real-estate-search-experience-at-scale


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