​[1]  Murium Iqbal, Kamelia Aryafar, and Timothy Andertoon. Style conditioned recommendations. In Proceedings of the 13th ACM Conference on Recommender Systems, RecSys 2019, Copenhagen, Denmark, September 16-20, pages 128-136, 2019.

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[2]  Murium Iqbal, Nishan Subedi, and Kamelia Aryafar. Production ranking systems: A review. In Proceedings of SIGIR 2019 Workshop on eCommerce, co-located with the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, eCom@SIGIR 2019, Paris, France, July 25, 2019, 2019.

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[3]  Murium Iqbal, Adair Kovac, and Kamelia Aryafar. Discovering style trends through deep visually aware latent item embeddings. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. IEEE, 2018.

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[4]  Murium Iqbal, Adair Kovac, and Kamelia Aryafar, A multimodal recommender system for large-scale assortment generation in e-commerce. In The International ACM SIGIR Conference on Research and Development in Information Retrieval Workshop on eCommerce. ACM, 2018.​

​

[5]  Kamelia Aryafar, Devin Guillory, and Liangjie Hong. An ensemble-based approach to click-through rate prediction for promoted listings at etsy. In Proceedings of the ADKDD'17. ACM, 2017.​​

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[6]  Corey Lynch, Kamelia Aryafar, and Josh Attenberg. Images don't lie: Transferring deep visual semantic features to large-scale multimodal learning to rank. In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 2016.

​

[7]  Kamelia Aryafar, Corey Lynch, and Josh Attenber. Exploring user behaviour on etsy through dominant colors. In 22nd International Conference on Pattern Recognition, ICPR 2014, Stockholm, Sweden, August 24-28, 2014, 2014.