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From the lab to production: A case study of session-based recommendations in the home-improvement domain., , , , , and . RecSys, page 140-149. ACM, (2020)Complementary Recommendations Using Deep Multi-modal Embeddings For Online Retail., , , , , and . IEEE BigData, page 1774-1779. IEEE, (2020)Product collection recommendation in online retail., , , , , , and . RecSys, page 486-490. ACM, (2019)De-Biased Modelling of Search Click Behavior with Reinforcement Learning., , , , , and . CoRR, (2021)Interpretable Methods for Identifying Product Variants., , , , and . CoRR, (2021)Deep Learning-based Online Alternative Product Recommendations at Scale., , , , , , and . CoRR, (2021)Scaling up machine learning algorithms to handle big data.. University of Georgia, Athens, GA, USA, (2014)base-search.net (ftunivgeorgia:oai:athenaeum.libs.uga.edu:10724/31377).2nd Workshop on Online and Adaptive Recommender Systems (OARS)., , , , , , , , and . KDD, page 4862-4863. ACM, (2022)Interpretable Methods for Identifying Product Variants., , , , and . WWW (Companion Volume), page 448-453. ACM / IW3C2, (2020)Online Product Feature Recommendations with Interpretable Machine Learning., , , , and . CoRR, (2021)