An Overview on Augmented Reality Based Mobile Commerce Recommendation

Abstract:

Mobile commerce brings new requirements for the models of e-commerce recommendation systems. Due to the advantage of field experience of mobile internet devices, augmentation reality would be considered as a suitable technology platform for the implementation of e-commerce recommendation in mobile commerce. Specifically, the idea of using augmented reality to extract user instant interests and render recommended instant information would demonstrate its strong vitality. Currently, the research of augmented reality based mobile commerce recommendation systems consists of three parts: recommendation information processing, recommendation information presentation and augmented reality based interaction. Information processing refers to the use of techniques such as collaborative filtering analysis of user interests, goods or services to decide what information should be recommended to the user. Information representation refers to the way in which recommended information is transmitted to users. Augmentation reality based interaction model is responsible for the interaction of users with the goods and services information, is a concrete manifestation of the recommended way of e-commerce in the mobile business environments. In this paper, the feasibility and main techniques of augmented reality technology used in mobile commerce were analyzed, and the prospects for its applications were looked forward to.

• Periodical: Applied Mechanics and Materials (Volumes 347-350)
• Pages: 3297-3301
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.347-350.3297
• Online since: August 2013
• Authors: Min Jing Peng, Bo Li
• Keywords: Augmentation Reality, E-Commerce (EC), Information Processing, Information Representation, Mobile Commerce, Recommendation System

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