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Zillow Tech Hub

Stories by Sangdi Lin

Sangdi Lin is an applied scientist at Zillow. He obtained his Ph.D. in Industrial Engineering from Arizona State University, with research focus on statistical machine learning.

Home Embeddings for Similar Home Recommendations

We introduce a deep learning-based listing embedding method using a Siamese network for similar home recommendations at Zillow. Our embedding model utilizes both collaborative and content information, models complex interactions between attributes, and effectively handles cold-start items. We have demonstrated the strong performance of our embedding method in surfacing relevant homes to the users.