RE-RecSys: An End-to-End system for recommending properties in Real-Estate domain

arXiv:2404.16553v1 Announce Type: cross
Abstract: We propose an end-to-end real-estate recommendation system, RE-RecSys, which has been productionized in real-world industry setting. We categorize any user into 4 categories based on available historical data: i) cold-start users; ii) short-term users; iii) long-term users; and iv) short-long term users. For cold-start users, we propose a novel rule-based engine that is based on the popularity of locality and user preferences. For short-term users, we propose to use content-filtering model which recommends properties based …

abstract arxiv cs.ir cs.lg data domain historical data iii industry long-term recommendation recsys type world