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- W1963500571 abstract "Commodity information such as prices and public reviews is always the concern of consumers. Helping them conveniently acquire these information as an instant reference is often of practical significance for their purchase activities. Nowadays, Web 2.0, linked data clouds, and the pervasiveness of smart hand held devices have created opportunities for this demand, i.e., users could just snap a photo of any commodity that is of interest at anytime and anywhere, and retrieve the relevant information via their Internet-linked mobile devices. Nonetheless, compared with the traditional keyword-based information retrieval, extracting the hidden information related to the commodities in photos is a much more complicated and challenging task, involving techniques such as pattern recognition, knowledge base construction, semantic comprehension, and statistic deduction. In this paper, we propose a framework to address this issue by leveraging on various techniques, and evaluate the effectiveness and efficiency of this framework with experiments on a prototype." @default.
- W1963500571 created "2016-06-24" @default.
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- W1963500571 date "2013-07-28" @default.
- W1963500571 modified "2023-10-18" @default.
- W1963500571 title "Commodity query by snapping" @default.
- W1963500571 cites W2042281163 @default.
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- W1963500571 doi "https://doi.org/10.1145/2484028.2484120" @default.
- W1963500571 hasPublicationYear "2013" @default.
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