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picture1_Commerce Pdf 51031 | Productqna Answering User Questions On E Commerce Product Pages


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File: Commerce Pdf 51031 | Productqna Answering User Questions On E Commerce Product Pages
ProductQnA:AnsweringUserQuestionsonE-Commerce ProductPages ∗ ∗ ∗ Ashish Kulkarni Kartik Mehta Shweta Garg India Machine Learning, Amazon India Machine Learning, Amazon India Machine Learning, Amazon kulkashi@amazon.com kartim@amazon.com shwegarg@amazon.com &lowast ...

icon picture PDF Filetype PDF | Posted on 20 Aug 2022 | 2 years ago
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...Productqna answeringuserquestionsone commerce productpages ashish kulkarni kartik mehta shweta garg india machine learning amazon kulkashi com kartim shwegarg vidit bansal nikhil rasiwasia srinivasan h sengamedu bansalv rasiwasi sengamed abstract therefore thesuccessofthesesystemsreliesontheirabilitytoseam product pages on e websites often overwhelm their cus lessly support customers in discovery and research tomers with a wealth of data making relevant infor this has motivated lot work the areas search mation challenge by here we present novel recommendation information extraction summarization re framework to answer both factoid non user questions cently automatic question answering chatbots onproduct propose several matching are concerned specific problem models leveraging deep learned distributional semantics customer detail imposed structured resource like domain contain contributed ontology proposed supports use combina sellers title description features etc tion these show throu...
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