Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic Gates

12 December 2021

Papers citing "Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic Gates"

7 / 7 papers shown

Title
General Item Representation Learning for Cold-start Content Recommendations Jooeun Kim Jinri Kim Kwangeun Yeo Eungi Kim Kyoung-Woon On Jonghwan Mun Joonseok Lee VLM 24 1 0 22 Apr 2024
Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond Oren Barkan Tal Reiss Jonathan Weill Ori Katz Roy Hirsch Itzik Malkiel Noam Koenigstein 34 6 0 28 Aug 2023
Item Cold Start Recommendation via Adversarial Variational Auto-encoder Warm-up Shenzheng Zhang Qiurong Tan Xinzhi Zheng Yi Ren Xunming Zhao 16 0 0 28 Feb 2023
Interpreting BERT-based Text Similarity via Activation and Saliency Maps Itzik Malkiel Dvir Ginzburg Oren Barkan Avi Caciularu Jonathan Weill Noam Koenigstein 20 20 0 13 Aug 2022
MetricBERT: Text Representation Learning via Self-Supervised Triplet Training Itzik Malkiel Dvir Ginzburg Oren Barkan Avi Caciularu Yoni Weill Noam Koenigstein SSL 23 13 0 13 Aug 2022
Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps Oren Barkan Edan Hauon Avi Caciularu Ori Katz Itzik Malkiel Omri Armstrong Noam Koenigstein 26 37 0 23 Apr 2022
Bayesian Neural Word Embedding Oren Barkan BDL 131 87 0 21 Mar 2016