2019
DOI: 10.1007/978-3-030-13397-9_110
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Digital Technology in Retail: Reasons and Trends of Development

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Cited by 7 publications
(2 citation statements)
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“…ALS [235] associationrules [247] AttentionCNN [163] AttentionDeepLearning [161] Bayesiannetworks [227] BEAM [167] BERT [44,78] BigData [177,189,[192][193][194][198][199][200]205,206,212,214,216,[225][226][227]241] BPR [235] CF [247] Classificationalgorithms [217] CNN [46][47][48][49]52,57,58,[60][61][62]66,[68][69][70]72,74,76,78,[81][82][83]91,…”
Section: Methods Citationsmentioning
confidence: 99%
See 1 more Smart Citation
“…ALS [235] associationrules [247] AttentionCNN [163] AttentionDeepLearning [161] Bayesiannetworks [227] BEAM [167] BERT [44,78] BigData [177,189,[192][193][194][198][199][200]205,206,212,214,216,[225][226][227]241] BPR [235] CF [247] Classificationalgorithms [217] CNN [46][47][48][49]52,57,58,[60][61][62]66,[68][69][70]72,74,76,78,[81][82][83]91,…”
Section: Methods Citationsmentioning
confidence: 99%
“…Personalization of fashion e-commerce [194]: As smart cities become more connected and data-rich, there is an opportunity to provide more personalized fashion e-commerce experiences. There is a need to keep exploring how AI and machine learning algorithms can be used to recommend products that are tailored to individual consumers based on their preferences, shopping behavior, and location data.…”
mentioning
confidence: 99%