最短路径计算:基于位置的推荐系统的比较研究

Hagar S. Mahmoud, N. Akkari
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引用次数: 52

摘要

找到地球上两点之间的最短路径是很重要的,尤其是在导航中。由于地球并不完全遵循一种几何形状,计算其表面的距离是一个重要的挑战。哈弗辛公式和文森特公式是分别用于计算球体和椭圆形状上的距离的两个主要公式。因为地球既不是一个完美的球体也不是一个完美的椭圆,所以使用这些公式可以得到真实距离的近似结果。本文将这两个公式应用于基于位置的上下文感知推荐系统,并对其进行了评价。因此,本文认为Haversine在推荐领域更为合适。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Shortest Path Calculation: A Comparative Study for Location-Based Recommender System
Finding the shortest path between two points on Earth is important especially in navigation. Since the Earth does not exactly follow one of the geometric shapes, calculating the distance on its surface is one of the important challenges. Haversine and Vincenty formulas are the two major formulas used for calculating distances on a sphere and elliptic shapes, respectively. Since the Earth is neither a perfect sphere nor ellipse, using these formulas gives approximate results about the real distances. This paper presents and evaluates the two formulas by applying them on location -- based context-aware recommender system. As a result, the paper concludes that Haversine is more appropriate in the field of recommendation.
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