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LiveCompare: Grocery Bargain Hunting Through Participatory Sensing

机译:LiveCompare:通过参与式感应进行杂货讨价还价

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Many consumers are misled into paying high prices due to the search costs associated with attaining price information [16]. The popularity of bargain-hunting web sites like Slickdeals.net, which boasts 2.5 million visitors per month, hints that many shoppers are indeed in search of tools to help them save money. We present LiveCompare, a system that leverages the ubiquity of mobile camera phones to allow for grocery bargain hunting through participatory sensing. We utilize two-dimensional barcode decoding to automatically identify grocery products, as well as localization techniques to automatically pinpoint store locations. We show that an incentive scheme is inherently ingrained into our query/response protocol, and we suggest self-regulating mechanisms for preserving data integrity. As a result, we demonstrate that money-saving price comparisons can be conducted among brick and mortar grocery stores without the explicit cooperation of the stores.
机译:由于与获取价格信息相关的搜索成本,许多消费者被误导为支付高价[16]。像Slickdeals.net这样的讨价还价网站的流行,每月吸引250万访问者,这暗示着许多购物者的确在寻找帮助他们省钱的工具。我们将展示LiveCompare,该系统利用移动照相电话的普及性,通过参与式感应使杂货店讨价还价。我们利用二维条形码解码来自动识别食品杂货,并利用本地化技术来自动查明商店位置。我们表明,激励机制本质上已根植于我们的查询/响应协议中,并且我们建议采用自我调节机制来保持数据完整性。结果,我们证明了可以在实体商店之间进行省钱的价格比较,而无需商店的明确合作。

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