Personalized Ranking in eCommerce Search

  title={Personalized Ranking in eCommerce Search},
  author={Grigor Aslanyan and Aritra Mandal and Prathyusha Senthil Kumar and Amit Jaiswal and Manojkumar Rangasamy Kannadasan},
  journal={Companion Proceedings of the Web Conference 2020},
We address the problem of personalization in the context of eCommerce search. Specifically, we develop personalization ranking features that use in-session context to augment a generic ranker optimized for conversion and relevance. We use a combination of latent features learned from item co-clicks in historic sessions and content based features that use item title and price. Personalization in search has been discussed extensively in the existing literature. The novelty of our work is… Expand
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