Deep Character-Level Click-Through Rate Prediction for Sponsored Search. - Bora Edizel; Amin Mantrach; Xiao Bai 002 (SIGIR, 2017)

Misspelling Oblivious Word Embeddings. - Bora Edizel; Aleksandra Piktus; Piotr Bojanowski; Rui Ferreira; Edouard Grave; Fabrizio Silvestri (NAACL-HLT (1), 2019)

Word embeddings with applications to web search and advertising. - Necati Bora Edizel (2019)

FaiRecSys: mitigating algorithmic bias in recommender systems. - Bora Edizel; Francesco Bonchi; Sara Hajian; André Panisson; Tamir Tassa (Int. J. Data Sci. Anal., 2020)

Concept Matching for Low-Resource Classification. - Federico Errica; Fabrizio Silvestri; Bora Edizel; Ludovic Denoyer; Fabio Petroni; Vassilis Plachouras; Sebastian Riedel 001 (IJCNN, 2021)

Position-Aware Deep Character-Level CTR Prediction for Sponsored Search. - Xiao Bai 002; Reza Abasi; Bora Edizel; Amin Mantrach (IEEE Trans. Knowl. Data Eng., 2021)

Harnessing the Power of Graph Neural Networks for Personalized Rail Recommendations. - Bora Edizel; Sri Haindavi Koppuravuri; Mark Gannaway; Puja Das; Kamilia Ahmadi (IEEE Big Data, 2024)

Towards Understanding The Gaps of Offline And Online Evaluation Metrics: Impact of Series vs. Movie Recommendations. - Bora Edizel; Tim Sweetser; Ashok Chandrashekar; Kamilia Ahmadi; Puja Das (RecSys, 2024)