Studying Product Competition Using Representation Learning

@article{Chen2020StudyingPC,
  title={Studying Product Competition Using Representation Learning},
  author={Fanglin Chen and Xiao Liu and Davide Proserpio and Isamar Troncoso and Feiyu Xiong},
  journal={Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval},
  year={2020}
}
  • Fanglin Chen, Xiao Liu, Feiyu Xiong
  • Published 21 May 2020
  • Business
  • Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
Studying competition and market structure at the product level instead of brand level can provide firms with insights on cannibalization and product line optimization. However, it is computationally challenging to analyze product-level competition for the millions of products available on e-commerce platforms. We introduce Product2Vec, a method based on the representation learning algorithm Word2Vec, to study product-level competition, when the number of products is large. The proposed model… 

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