Pinned Repositories
AutoLossGen
AutoLossGen: Automatic Loss Function Generation for Recommender Systems
DCCF
Deconfounded Causal Collaborative Filtering
DyCCF
Dynamic Causal Collaborative Filtering
ExplainableFold
GenRec
Large Language Model for Generative Recommendation
NCR
Neural Collaborative Reasoning
NLR
Code for paper: Neural Logic Reasoning
NS-KGE
Non-Sampling Knowledge Graph Embedding
PAP-REC
user-fairness
User-oriented Fairness in Recommendation
rutgerswiselab's Repositories
rutgerswiselab/Amazon-Product-Search-Datasets
An benchmark dataset for personalized product search built on Amazon review data
rutgerswiselab/Attentive-Aspect-based-Recommendation-Model
rutgerswiselab/attentive_history_selection
rutgerswiselab/bert_hae
BERT with History Answer Embedding for Conversational Question Answering
rutgerswiselab/Conversational
Code for paper: Towards Conversational Search and Recommendation: System Ask, User Respond
rutgerswiselab/ConvProductSearchNF
Code for paper "Conversational Product Search Based on Negative Feedback"
rutgerswiselab/DER
Code for "Dynamic Explainable Recommendation based on Neural Attentive Models"
rutgerswiselab/DPAM
code for Modeling Dynamic Pairwise Attention for Crime Classification over Legal Articles, SIGIR 2018
rutgerswiselab/drr
code for the paper "Personalized Context-Aware Re-ranking for E-commerce Recommendation Systems"
rutgerswiselab/EchoChamberInEcommerce
rutgerswiselab/EHCF
This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)
rutgerswiselab/ENMF
This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.
rutgerswiselab/Explainable-Product-Search-with-a-Dynamic-Relation-Embedding-Model
rutgerswiselab/HID
Repository for " Integrating User Representation Learning and Multiscale Modeling: A Hierarchical Framework for Information Diffusion".
rutgerswiselab/HMN
Source code for SIGIR 2019 paper "Hierarchical Matching Network for Crime Classification"
rutgerswiselab/HOOPS
rutgerswiselab/JRL
Code for paper: Joint Representation Learning for Top-N Recommendation with Heterogenous Information Sources
rutgerswiselab/KBE4ExplainableRecommendation
Code for Paper: Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation (KBE4ER)
rutgerswiselab/Maximizing-Marginal-Utility-per-Dollar-for-Economic-Recommendation
rutgerswiselab/NETE
Codes and Datasets for the paper: CIKM'20, Generate Neural Template Explanations for Recommendation
rutgerswiselab/NeuralResponseRanking
Data and Code on Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems (SIGIR 2018)
rutgerswiselab/PGPR
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
rutgerswiselab/PreHash
rutgerswiselab/rec-rl
Code for Paper: Value-aware Recommendation based on Reinforcement Profit Maximization
rutgerswiselab/Risk-Aware-Recommnedation-Model
code for Learning Personalized Risk Preferences for Recommendation
rutgerswiselab/UserIntentPrediction
User Intent Prediction in Information-seeking Conversations