research
∙
08/31/2023
Adaptation Speed Analysis for Fairness-aware Causal Models
For example, in machine translation tasks, to achieve bidirectional tran...
share
research
∙
07/01/2023
Fedward: Flexible Federated Backdoor Defense Framework with Non-IID Data
Federated learning (FL) enables multiple clients to collaboratively trai...
research
∙
03/04/2023
A Self-Correcting Sequential Recommender
Sequential recommendations aim to capture users' preferences from their ...
research
∙
01/04/2023
Modeling Sequential Recommendation as Missing Information Imputation
Side information is being used extensively to improve the effectiveness ...
research
∙
05/20/2020
M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems
Combining graph representation learning with multi-view data (side infor...
research
∙
10/22/2019
From Personalization to Privatization: Meta Matrix Factorization for Private Rating Predictions
Matrix factorization (MF) techniques have been shown to be effective for...
research
∙
10/06/2019
Parallel Split-Join Networks for Shared-account Cross-domain Sequential Recommendations
Sequential Recommendation (SR) has been attracting a growing attention f...
research
∙
10/06/2019
Parallel Segregation-Integration Networks for Shared-account Cross-domain Sequential Recommendations
Sequential Recommendation (SR) has been attracting a growing attention f...
research
∙
08/24/2019
Improving Outfit Recommendation with Co-supervision of Fashion Generation
The task of fashion recommendation includes two main challenges: visual ...
research
∙
06/23/2018