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    An Efficient Mechanism for Product Data Extraction from E-Commerce Websites

    Malik Javed Akhtar1, Zahur Ahmad1, Rashid Amin1, *, Sultan H. Almotiri2, Mohammed A. Al Ghamdi2, Hamza Aldabbas3

    CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 2639-2663, 2020, DOI:10.32604/cmc.2020.011485

    Abstract A large amount of data is present on the web which can be used for useful purposes like a product recommendation, price comparison and demand forecasting for a particular product. Websites are designed for human understanding and not for machines. Therefore, to make data machine-readable, it requires techniques to grab data from web pages. Researchers have addressed the problem using two approaches, i.e., knowledge engineering and machine learning. State of the art knowledge engineering approaches use the structure of documents, visual cues, clustering of attributes of data records and text processing techniques to identify data… More >

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