In this extended abstract, we present an end to end approach for building a taxonomy of home attribute terms that enables hierarchical recommendations of real estate properties. We cover the methodology for building a real-estate taxonomy, metrics for measuring this structure's quality, and then conclude with a production use-case of making recommendations from search keywords at different levels of topical similarity.
@article{arxiv.2210.15142,
title = {Taxonomic Recommendations of Real Estate Properties with Textual Attribute Information},
author = {Zachary Harrison and Anish Khazane},
journal= {arXiv preprint arXiv:2210.15142},
year = {2022}
}
Comments
In Sixteenth ACM Conference on Recommender Systems (RecSys 2022)