ACL'21 Oral, Personalized Transformer for Explainable Recommendation
☆95Jan 24, 2025Updated last year
Alternatives and similar repositories for PETER
Users that are interested in PETER are comparing it to the libraries listed below
Sorting:
- SIGIR'21, EXTRA: Explanation Ranking Datasets for Explainable Recommendation☆32Jan 24, 2025Updated last year
- TOIS'23, Personalized Prompt Learning for Explainable Recommendation☆131Jan 24, 2025Updated last year
- CIKM'20, Generate Neural Template Explanations for Recommendation☆23Jan 24, 2025Updated last year
- Sentires: A Toolkit for Phrase-level Sentiment Analysis☆54Nov 21, 2021Updated 4 years ago
- A small ecosystem for Recommender Systems-based Natural Language Generation☆41Jan 24, 2025Updated last year
- ReXPlug: Explainable Recommendation using Plug and Play Language Model, SIGIR 2021☆10Nov 14, 2021Updated 4 years ago
- Counterfactual Explainable Recommendation☆50Dec 7, 2021Updated 4 years ago
- ☆12May 13, 2023Updated 2 years ago
- A quick guide to Sentires: Phrase-level Sentiment Analysis toolkit, SIGIR'14☆37Jan 24, 2025Updated last year
- Models for explainable recommendation.☆12Jan 19, 2024Updated 2 years ago
- ☆65Feb 13, 2020Updated 6 years ago
- Offical Code for "PEVAE: A Hierarchical VAE for Personalized Explainable Recommendation."☆12Oct 12, 2022Updated 3 years ago
- Code for our SIGIR'2017 paper "Neural Rating Regression with Abstractive Tips Generation for Recommendation"☆14Jul 24, 2020Updated 5 years ago
- ☆60Apr 30, 2024Updated last year
- ☆63Nov 15, 2023Updated 2 years ago
- CIKM'23, Prompt Distillation for Efficient LLM-based Recommendation☆51Jan 24, 2025Updated last year
- code for ‘Towards Long-term Fairness in Recommendation’☆23Sep 4, 2023Updated 2 years ago
- wx☆11Aug 14, 2022Updated 3 years ago
- ☆370Oct 9, 2023Updated 2 years ago
- User-oriented Fairness in Recommendation☆29Nov 6, 2021Updated 4 years ago
- ☆21Oct 30, 2023Updated 2 years ago
- ☆33Sep 3, 2019Updated 6 years ago
- ☆12Sep 23, 2023Updated 2 years ago
- ☆29May 23, 2019Updated 6 years ago
- This is the implementation code for the WWW2021 paper "Variation Control and Evaluation for Generative Slate Recommendation"☆15Jun 7, 2021Updated 4 years ago
- Explainable Recommendation via Multi-Task Learning in Opinionated Text Data☆39Jun 29, 2022Updated 3 years ago
- Bidirectional Distillation for Top-K Recommender System (WWW 2021)☆14Apr 5, 2022Updated 3 years ago
- Non-Sampling Knowledge Graph Embedding☆11Apr 23, 2021Updated 4 years ago
- SIGIR 2022 Paper: Less is More: Reweighting Important Spectral Graph Features for Recommendation☆34Nov 27, 2023Updated 2 years ago
- Pre-training and Transfer learning papers for recommendation☆18Mar 9, 2024Updated last year
- This is the official code for WWW 2021 paper "Session-aware Linear Item-Item Models for Session-based Recommendation"☆33Sep 19, 2023Updated 2 years ago
- Explainable recommendation via interpretable feature mapping☆19Apr 25, 2020Updated 5 years ago
- Large Language Model for Generative Recommendation☆76Mar 12, 2024Updated last year
- ☆20Jun 19, 2020Updated 5 years ago
- A Dataset for Conversational Recommendation over KnowledgeGraph in E-commerce☆51Sep 26, 2021Updated 4 years ago
- This is our implementation for our paper: TLSAN: Time-aware Long- and Short-term Attention Network for Next-item Recommendation☆33Jun 11, 2025Updated 8 months ago
- ruizhang-ai / HIRS-Detecting_Arbitrary_Order_Beneficial_Feature_Interactions_for_Recommender_SystemsDetecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems, KDD 2022☆25Jul 7, 2022Updated 3 years ago
- Code for paper "Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?"☆22Oct 13, 2020Updated 5 years ago
- ☆67Feb 16, 2023Updated 3 years ago