Embarrassingly Shallow Autoencoders for Sparse Data

8 May 2019

Papers citing "Embarrassingly Shallow Autoencoders for Sparse Data"

12 / 12 papers shown

Title
Shallow AutoEncoding Recommender with Cold Start Handling via Side Features Edward DongBo Cui Lu Zhang William Ping-hsun Lee 52 0 0 03 Apr 2025
Extending MovieLens-32M to Provide New Evaluation Objectives Mark D. Smucker Houmaan Chamani 250 0 0 02 Apr 2025
Weighted Tensor Decompositions for Context-aware Collaborative Filtering Joey De Pauw Bart Goethals 70 0 0 11 Mar 2025
Collaborative Diffusion Model for Recommender System G. G. Lee Yaochen Zhu Hwanjo Yu Yao Zhou Wenlin Yao DiffM 73 0 0 31 Jan 2025
Private Selection with Heterogeneous Sensitivities Daniela Antonova Allegra Laro Audra McMillan Lorenz Wolf 102 0 0 10 Jan 2025
Collaborative Filtering via High-Dimensional Regression Harald Steck 13 26 0 30 Apr 2019
Variational Autoencoders for Collaborative Filtering Dawen Liang Rahul G. Krishnan Matthew D. Hoffman Tony Jebara BDL 143 1,222 0 16 Feb 2018
Recurrent Neural Networks with Top-k Gains for Session-based Recommendations Balázs Hidasi Alexandros Karatzoglou 45 826 0 12 Jun 2017
Wide & Deep Learning for Recommender Systems Heng-Tze Cheng L. Koc Jeremiah Harmsen T. Shaked Tushar Chandra ... Zakaria Haque Lichan Hong Vihan Jain Xiaobing Liu Hemal Shah HAI VLM 146 3,646 0 24 Jun 2016
A Neural Autoregressive Approach to Collaborative Filtering Yin Zheng Bangsheng Tang Wenkui Ding Hanning Zhou BDL 44 223 0 31 May 2016
Session-based Recommendations with Recurrent Neural Networks Balázs Hidasi Alexandros Karatzoglou L. Baltrunas D. Tikk 56 2,055 0 21 Nov 2015
Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation D. Guillot B. Rajaratnam B. T. Rolfs A. Maleki Ian Wong 70 100 0 12 Nov 2012