Training Deep AutoEncoders for Collaborative Filtering

Training Deep AutoEncoders for Collaborative Filtering

5 August 2017

Oleksii Kuchaiev

Boris Ginsburg

Papers citing "Training Deep AutoEncoders for Collaborative Filtering"

9 / 9 papers shown

Title
Towards a Unified Conversational Recommendation System: Multi-task Learning via Contextualized Knowledge Distillation Yeongseo Jung Eunseo Jung Lei Chen 28 5 0 27 Oct 2023
TorchBench: Benchmarking PyTorch with High API Surface Coverage Yueming Hao Xu Zhao Bin Bao David Berard William Constable Adnan Aziz Xu Liu 38 5 0 27 Apr 2023
The effectiveness of factorization and similarity blending Andrea Pinto Giacomo Camposampiero Loic Houmard Marc Lundwall 23 0 0 16 Sep 2022
RikoNet: A Novel Anime Recommendation Engine B. Soni Debangan Thakuria Nilutpal Nath Navarun Das Bhaskarananda Boro 32 4 0 24 Jun 2021
Deep Learning Approach for Matrix Completion Using Manifold Learning Saeid Mehrdad M. Kahaei 24 6 0 11 Dec 2020
Time-based Sequence Model for Personalization and Recommendation Systems T. Ishkhanov Maxim Naumov Xianjie Chen Yan Zhu Yuan Zhong A. Azzolini Chonglin Sun Frank Jiang Andrey Malevich Liang Xiong 30 17 0 27 Aug 2020
Geometric Matrix Completion with Deep Conditional Random Fields Duc Minh Nguyen A. Calderbank Nikos Deligiannis 20 7 0 29 Jan 2019
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications Jongsoo Park Maxim Naumov Protonu Basu Summer Deng Aravind Kalaiah ... Lin Qiao Vijay Rao Nadav Rotem S. Yoo M. Smelyanskiy FedML GNN BDL 20 186 0 24 Nov 2018
Multi-Task Graph Autoencoders Phi Vu Tran SSL 13 20 0 07 Nov 2018