AI@CompassinCompass True NorthPersonalized Likely-to-Sell: Elevating Real Estate Recommendations with “Likely-to-Win”In the dynamic world of real estate, staying ahead of the curve is crucial. Compass, a pioneer in leveraging technology for real estate…Feb 281Feb 281
AI@CompassinCompass True NorthFraming Feature Engineering for Machine Learning: A Generative Model of Home Likelihood to SellHaving a generative or causal model in mind helps guide investments in data acquisition and feature engineering.May 10, 2022May 10, 2022
AI@CompassinCompass True NorthImputing Missing Values for Categorical Attributes, at ScaleHow to leverage Spark, CUBE, and frequent itemsets to fill in missing values in a database with hundreds of millions of rows.Jan 4, 2022Jan 4, 2022
AI@CompassinCompass True NorthPricing Homes like Agents Do: AI for Real Estate CMA AdjustmentsHow we created a “human-in-charge” AI-assisted system for agents to create comparative market analysis reports.Dec 16, 2021Dec 16, 2021
AI@CompassinCompass True NorthEstimating the Geographic Area of AgentMany tasks within Compass require us to know whether an area is relevant to an agent and who is the right agent for an area. A component…Nov 1, 20213Nov 1, 20213
AI@CompassinCompass True NorthMachine Learning in Action for Compass’s Likely-to-Sell RecommendationsVarun Dattachaitanya Narasimha, Panos Ipeirotis, and Foster ProvostNov 11, 20202Nov 11, 20202
AI@CompassinCompass True NorthLikely-to-Sell Recommendations for Real EstateFoster Provost, Panos Ipeirotis, Eda Kaplan, and Nate RentmeesterAug 11, 20201Aug 11, 20201
