House rental information query times forecast

Based on the date the lease information is created and other relevant characteristics, it predicts how many times the lease information is expected to be clicked by the query, which in turn provides fraud control and information quality monitoring to enable homeowners and agents to better understand the tenants' needs and preferences

本数据集以租赁信息的创建日期及其他相关特征为依据，预测该租赁信息被用户查询时的预期点击次数，进而开展欺诈管控与信息质量监测，助力房东与房产中介更好地洞悉租客的需求与偏好。

搜集汇总

背景与挑战

背景概述

该数据集用于预测房屋租赁信息的查询点击次数，包含训练集和测试集两个JSON文件，主要服务于欺诈控制和信息质量监测，帮助房主和中介优化租赁策略。