Abstract
Shopping experience on any e-commerce website is largely driven by the content customers interact with. The large volume of diverse content on e-commerce platforms, and the advances in machine learning, pose unique opportunities for gathering insights through content understanding and applying these insights to generate content better shopper experience. The purpose of the first edition of this workshop was to bring together researchers from industry and academia on questions surrounding e-commerce content understanding and generation.
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CITATION STYLE
Negi, S., Verma, M., Banerjee, R. H., Pooja, A., Chilton, L., Gupta, M. D., … Garg, D. (2022). First Workshop on Content Understanding and Generation for E-commerce. In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 4888–4889). Association for Computing Machinery. https://doi.org/10.1145/3534678.3542904
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