deepeshhada / ReXPlug
ReXPlug: Explainable Recommendation using Plug and Play Language Model, SIGIR 2021
☆10Updated 3 years ago
Alternatives and similar repositories for ReXPlug:
Users that are interested in ReXPlug are comparing it to the libraries listed below
- SIGIR'21, EXTRA: Explanation Ranking Datasets for Explainable Recommendation☆31Updated last month
- ACL'21 Oral, Personalized Transformer for Explainable Recommendation☆88Updated last month
- Sentires: A Toolkit for Phrase-level Sentiment Analysis☆50Updated 3 years ago
- ☆11Updated last year
- Counterfactual Explainable Recommendation☆47Updated 3 years ago
- ☆64Updated 5 years ago
- CIKM'20, Generate Neural Template Explanations for Recommendation☆22Updated last month
- Faithfully Explainable Recommendation via Neural Logic Reasoning☆16Updated 3 years ago
- Cafe: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation☆32Updated 3 years ago
- A quick guide to Sentires: Phrase-level Sentiment Analysis toolkit, SIGIR'14☆35Updated last month
- A small ecosystem for Recommender Systems-based Natural Language Generation☆40Updated last month
- [KDD22] Official PyTorch implementation for "Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning".☆26Updated last month
- Neural Collaborative Reasoning☆29Updated 3 years ago
- [ SIGIR '20 ] How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements☆55Updated 2 years ago
- ☆16Updated 2 years ago
- KDD2020 Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion☆60Updated 4 years ago
- ☆38Updated 4 years ago
- the dataset TG-ReDial☆63Updated 4 years ago
- ☆31Updated 4 years ago
- Code for the KDD21 paper -- Popularity Bias in Dynamic Recommendation☆16Updated 3 years ago
- Multi-order Attentive Ranking Model for Sequential Recommendation☆26Updated 5 years ago
- Code for "Sequential Recommendation for Cold-start Users with Meta Transitional Learning" (SIGIR2021)☆21Updated 3 years ago
- This is the official code for the WSDM 2021 paper: 'Local Collaborative Autoencoders.'☆21Updated last year
- User-controllable Recommendation Against Filter Bubbles☆17Updated 2 years ago
- User-oriented Fairness in Recommendation☆27Updated 3 years ago
- Explainable recommendation via interpretable feature mapping☆18Updated 4 years ago
- ☆20Updated 2 years ago
- ☆10Updated 2 years ago
- Code for paper: Towards Conversational Search and Recommendation: System Ask, User Respond☆41Updated 3 years ago
- ☆32Updated 3 years ago