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Recommendations of Compatible Accessories in e-Commerce.

, , , , , и . IEEE BigData, стр. 5296-5304. IEEE, (2020)

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Iradj Khalifeh-Soltani

Al-Husseini Al-Wakeel

al-Mohannad al- Mustafa

Al Makin

Nurol Al

 

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From the lab to production: A case study of session-based recommendations in the home-improvement domain., , , , , и . RecSys, стр. 140-149. ACM, (2020)2nd Workshop on Online and Adaptive Recommender Systems (OARS)., , , , , , , , и . KDD, стр. 4862-4863. ACM, (2022)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).Product collection recommendation in online retail., , , , , , и . RecSys, стр. 486-490. ACM, (2019)De-Biased Modelling of Search Click Behavior with Reinforcement Learning., , , , , и . CoRR, (2021)Complementary Recommendations Using Deep Multi-modal Embeddings For Online Retail., , , , , и . IEEE BigData, стр. 1774-1779. IEEE, (2020)Recommendation in home improvement industry, challenges and opportunities.. RecSys, стр. 528. ACM, (2019)Interpretable Methods for Identifying Product Variants., , , , и . WWW (Companion Volume), стр. 448-453. ACM / IW3C2, (2020)Online Product Feature Recommendations with Interpretable Machine Learning., , , , и . CoRR, (2021)3rd Workshop on Online and Adaptive Recommender Systems (OARS)., , , , , , , , и . KDD, стр. 5855-5856. ACM, (2023)