SMoCoR: A Smart Mobile Contact Recommender Based on Smart Phone Data

Xiwei Zhuang, Yanchun Sun, Kui Wei
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引用次数: 3

Abstract

This paper presents SMoCoR, a smart mobile contact recommender based on smart phone data. It recommends the most appropriate way to contact friends according to friends' current condition. In no emergency condition, SMoCoR achieves two goals. First, the recommended contacts disturb friends least, that means, it will tell whether it's suitable to call friends. Second, the recommended contact makes the communication information accessible to the friends and gets replies from the friends as soon as possible. For the goals above, SMoCoR takes friends' calendar data and smart phone data as inputs, and after several steps of calculation it will recommend a list of contacts ranked by intelligent algorithm according to the appropriateness. The experimental results based on real-user data show that SMoCoR provides an efficient and accurate means for contact recommendation.
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SMoCoR:基于智能手机数据的智能手机联系人推荐
提出了一种基于智能手机数据的手机联系人推荐系统SMoCoR。根据朋友的现状,推荐最合适的联系方式。在没有紧急情况的情况下,SMoCoR实现了两个目标。首先,推荐的联系人打扰朋友最少,也就是说,它会告诉你是否适合打电话给朋友。其次,推荐联系人可以让朋友了解到沟通信息,并能尽快得到朋友的回复。为了实现上述目标,SMoCoR将朋友的日历数据和智能手机数据作为输入,经过几个步骤的计算,它会根据合适性推荐一份联系人列表,并通过智能算法进行排名。基于实际用户数据的实验结果表明,SMoCoR为联系人推荐提供了一种高效、准确的方法。
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