An Experimental Evaluation of Point-of-interest Recommendation in Location-based Social Networks
An Experimental Evaluation of Point-of-interest Recommendation in Location-based Social Networks
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DOI：
10.14778/3115404.3115407
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发表时间：
2017-06-01
影响因子：
2.5
通讯作者：
Yuan, Quan
中科院分区：
文献类型：
--
作者：
Liu, Yiding;Tuan-Anh Nguyen Pham;Yuan, Quan
兴趣点推荐是基于位置的社交网络的一项重要服务，对用户和企业都有好处。近年来，许多兴趣点推荐系统被提出，但仍然缺乏系统的比较。在本文中，我们提供了一个全面的评价12个国家的最先进的POI推荐模型。从评估中，我们得到了几个重要的发现，在此基础上，我们可以更好地理解和利用POI推荐模型在各种场景。我们期望这项工作为读者提供一个关于POI推荐的前沿研究的整体图景。
Point-of-interest (POI) recommendation is an important service to Location-Based Social Networks (LBSNs) that can benefit both users and businesses. In recent years, a number of POI recommender systems have been proposed, but there is still a lack of systematical comparison thereof. In this paper, we provide an all-around evaluation of 12 state-of-the-art POI recommendation models. From the evaluation, we obtain several important findings, based on which we can better understand and utilize POI recommendation models in various scenarios. We anticipate this work to provide readers with an overall picture of the cutting-edge research on POI recommendation.