Pinned Repositories
Conversational
Code for paper: Towards Conversational Search and Recommendation: System Ask, User Respond
er-mpum
Code for paper: Multi-Product Utility Maximization for Economic Recommendation
Explainable-Recommendation
Human-XAI
Human-centered Explainable AI
JRL
Code for paper: Joint Representation Learning for Top-N Recommendation with Heterogenous Information Sources
KBE4ExplainableRecommendation
Code for Paper: CFKG: Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation (KBE4ER)
LMF
Code for paper: Localized matrix factorization for recommendation based on matrix block diagonal forms
NCR
Neural Collaborative Reasoning
Sentires
Sentires: A Toolkit for Phrase-level Sentiment Analysis
XAI
Towards Explainable Artificial Intelligence
evison's Repositories
evison/LMF
Code for paper: Localized matrix factorization for recommendation based on matrix block diagonal forms
evison/er-mpum
Code for paper: Multi-Product Utility Maximization for Economic Recommendation
evison/Explainable-Recommendation
evison/er-surplus
Code for paper: Economic Recommendation with Surplus Maximization
evison/Connect4
A General Open-source Framework for Experimenting Novel AI algorithms based on the Connect Four Game
evison/GNNPapers
Must-read papers on graph neural network (GNN)
evison/RecSys2019_DeepLearning_Evaluation
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches"
evison/Chicker
Chicker: An Open-source Location-based Personalized Restaurant Recommender System based on HTML5
evison/conversearch
evison/DER
Code for "Dynamic Explainable Recommendation based on Neural Attentive Models"
evison/DistCrawler
A Distributed Web Crawler based on Hadoop and HBase
evison/double-blind-reviewing.github.io
evison/dowhy
DoWhy is a Python library that makes it easy to estimate causal effects. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
evison/drr
code for the paper "Personalized Re-ranking for E-commerce Recommender Systems"
evison/ears2018workshop
evison/Explainable-Product-Search-with-a-Dynamic-Relation-Embedding-Model
evison/interpret
Fit interpretable models. Explain blackbox machine learning.
evison/Maximizing-Marginal-Utility-per-Dollar-for-Economic-Recommendation
evison/models
Models and examples built with TensorFlow
evison/Neural-LP
Differentiable Learning of Logical Rules for Knowledge Base Reasoning
evison/NeuralResponseRanking
Data and Code on Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems (SIGIR 2018)
evison/PGPR
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
evison/rec-rl
evison/rerank