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Mining and Predicting Users M-Commerce Patterns using Collaborative Filtering Algorithm

机译:使用协同过滤算法挖掘和预测用户M-商务模式

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Mobile Commerce, also known as M-Commerce or mCommerce, is the ability to conduct commerce using a mobile device. Research is done by Mining and Prediction of Mobile Users' Commerce Behaviors such as their movements and purchase transactions. The problem of PMCP-Mine algorithm has been overcome by the Collaborative Filtering Algorithm. The main objective is to analyse the Mobile users' movements to the new locations instead of considering only the frequent moving locations. In the existing approach, a Mobile Commerce Explorer Framework has been implemented to make recommendations for stores and items by analysing the Mobile users'. The drawbacks are the recommendations that made are only for frequently moving locations and stores. The proposed work is to recommend stores and items in new locations by considering the rating of
机译:移动商务,也称为M-Commerce或mCommerce,是使用移动设备进行商务的能力。通过对移动用户的商业行为(例如他们的活动和购买交易)的挖掘和预测来进行研究。协同过滤算法已经克服了PMCP-Mine算法的问题。主要目的是分析移动用户到新位置的移动,而不是仅考虑频繁移动的位置。在现有方法中,已经实现了Mobile Commerce Explorer框架,以通过分析Mobile用户的信息为商店和商品提出建议。缺点是仅针对频繁移动的位置和商店提出了建议。拟议的工作是通过考虑以下因素来推荐新位置的商店和物品:

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