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Context-Aware Recommendation Service Using Multi-leveled Information in Mobile Commerce

机译:在移动商务中使用多级信息的上下文感知推荐服务

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Recommender systems are being used by an ever-increasing number of electronic commerce applications to help consumers find products to purchase. Recommender systems in mobile commerce should be context-aware to understand each consumer's contexts anywhere at anytime. This paper proposes a new context-aware recommendation service that enables consumers to obtain relevant information efficiently by using multi-leveled information. This paper describes the recommendation method and presents application scenario that utilizes the method. Several experiments are performed and the results verify that the proposed method's recommendation performance is better than other existing methods.
机译:越来越多的电子商务应用程序使用推荐系统来帮助消费者找到要购买的产品。移动商务中的推荐器系统应具有上下文感知能力,以便随时随地了解每个消费者的上下文。本文提出了一种新的上下文感知推荐服务,该服务使消费者能够通过使用多级信息来有效地获取相关信息。本文介绍了推荐方法,并提出了使用该方法的应用场景。进行了几次实验,结果验证了该方法的推荐性能优于其他现有方法。

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