research
∙
06/28/2023
Disentangled Variational Auto-encoder Enhanced by Counterfactual Data for Debiasing Recommendation
Recommender system always suffers from various recommendation biases, se...
share
research
∙
05/16/2023
MsPrompt: Multi-step Prompt Learning for Debiasing Few-shot Event Detection
Event detection (ED) is aimed to identify the key trigger words in unstr...
research
∙
05/09/2020
Rethinking Item Importance in Session-based Recommendation
Session-based recommendation aims to predict users' based on anonymous s...
research
∙
09/26/2019
Pre-train, Interact, Fine-tune: A Novel Interaction Representation for Text Classification
Text representation can aid machines in understanding text. Previous wor...
research
∙
08/27/2019
Improving End-to-End Sequential Recommendations with Intent-aware Diversification
Sequential Recommendation (SRs) that capture users' dynamic intents by m...
research
∙
07/08/2019
Joint Neural Collaborative Filtering for Recommender Systems
We propose a J-NCF method for recommender systems. The J-NCF model appli...
research
∙
05/08/2018
