论文标题
LotRec：一个城市空地转换的推荐人
LotRec: A Recommender for Urban Vacant Lot Conversion
论文作者
论文摘要
在一个城市中，空置的地块被忽视，导致环境危害和社区生活水平差。因此，对于许多城市而言，回收空地并将其置于生产力的使用是一个重要的考虑因素。鉴于大量的空置批次和用于转换的资源限制，城市的两个关键问题是（1）是否转换空置地段； （2）可以转换空置的次数。我们寻求提供计算支持来回答这些问题。为此，我们确定了空置批次转换的决定因素，并根据这些决定因素构建推荐人。我们在来自宾夕法尼亚州费城和马里兰州巴尔的摩的美国城市的现实世界空地数据集上评估了我们的模型。我们的结果表明，我们的推荐人在预测是否应该在一个城市内转换空置批次时（1）90％的f测量值为（1）90％，（2）91％在预测应该将空置批次转换为单个城市中的空置批次，（3）85％的85％在预测空置批次是否应转换为两个城市。
Vacant lots are neglected properties in a city that lead to environmental hazards and poor standard of living for the community. Thus, reclaiming vacant lots and putting them to productive use is an important consideration for many cities. Given a large number of vacant lots and resource constraints for conversion, two key questions for a city are (1) whether to convert a vacant lot or not; and (2) what to convert a vacant lot as. We seek to provide computational support to answer these questions. To this end, we identify the determinants of a vacant lot conversion and build a recommender based on those determinants. We evaluate our models on real-world vacant lot datasets from the US cities of Philadelphia,PA and Baltimore, MD. Our results indicate that our recommender yields mean F-measures of (1) 90% in predicting whether a vacant lot should be converted or not within a single city, (2) 91% in predicting what a vacant lot should be converted to, within a single city and, (3) 85% in predicting whether a vacant lot should be converted or not across two cities.
