rutgerswiselab Goto Github PK

intent-aware-ranking-transformers

Code on IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems (WWW 2020)

jrl

Code for paper: Joint Representation Learning for Top-N Recommendation with Heterogenous Information Sources

kbe4explainablerecommendation

Code for Paper: Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation (KBE4ER)

llm-recsys-id

How to Index Item IDs for Recommendation Foundation Models

loger

Faithfully Explainable Recommendation via Neural Logic Reasoning

manas

Modularized Adaptive Neural Architecture Search

maximizing-marginal-utility-per-dollar-for-economic-recommendation

ncr

Neural Collaborative Reasoning

nete

Codes and Datasets for the paper: CIKM'20, Generate Neural Template Explanations for Recommendation

neuralresponseranking

Data and Code on Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems (SIGIR 2018)

nlr

Code for paper: Neural Logic Reasoning

ns-kge

Non-Sampling Knowledge Graph Embedding

openp5

OpenP5: Benchmarking Foundation Models for Recommendation

p5

pap-rec

personalized-counterfactual-fairness-in-recommendation

Code for paper "Personalized Counterfactual Fairness in Recommendation" (a.k.a. "Towards Personalized Fairness based on Causal Notion")

peter

ACL'21, Personalized Transformer for Explainable Recommendation

pgpr

Reinforcement Knowledge Graph Reasoning for Explainable Recommendation

pivotcvae

This is the implementation code for the WWW2021 paper "Variation Control and Evaluation for Generative Slate Recommendation"

prehash

rec-rl

Code for Paper: Value-aware Recommendation based on Reinforcement Profit Maximization

risk-aware-recommnedation-model

code for Learning Personalized Risk Preferences for Recommendation

ucr

Official implementation for paper "User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations" in ECAI2023

user-fairness

User-oriented Fairness in Recommendation

userintentprediction

User Intent Prediction in Information-seeking Conversations

vip5

VIP5: Towards Multimodal Foundation Models for Recommendation