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在移动互联网和移动终端设备技术迅速发展的今天,手机已不仅仅是接打电话和收发短信的基本通讯终端,而是成为融合通讯、购物、影音、游戏等功能的智能移动终端,与人们的亲密度甚至已超越电脑,在手机等移动终端设备购物平台上,物品种类丰富新颖,可以快速的货比多家,从而确定最后的消费品,这种买卖方式受到越来越多的消费者和商家的青睐,甚至有学者预测这一消费方式在将来会替代传统的消费方式。但是数以万计的商品如何快速,高效的推荐给需要的用户,本文中将研究用户在手机购物平台中的行为特征,为后续优化移动终端设备推荐购物系统优化提供基础。
Today, with the rapid development of mobile Internet and mobile terminal technology, mobile phones have become not only the basic communication terminals for making and receiving text messages, but also the smart mobile terminals integrating functions of communication, shopping, audio and video, games and the like The degree of intimacy even beyond the computer, mobile phones and other mobile devices in the shopping platform, a wealth of new items, you can quickly shop around to determine the final consumer goods, this way of buying and selling by more and more consumers and businesses Of the favor, and even some scholars predict that this mode of consumption in the future will replace the traditional mode of consumption. However, how to quickly and efficiently recommend tens of thousands of users to the users who need them, this article will study the behavior characteristics of users in mobile shopping platforms and provide the basis for optimizing the recommended shopping system for mobile devices.