wuch15 / News-Rec-SurveyLinks
Summary of recent news recommendation papers.
☆25Updated 3 years ago
Alternatives and similar repositories for News-Rec-Survey
Users that are interested in News-Rec-Survey are comparing it to the libraries listed below
Sorting:
- (PyTorch re-implementation) Neural Rating Regression with Abstractive Tips Generation for Recommendation, SIGIR'17☆11Updated 5 months ago
- Code for the SIGIR20 paper -- Measuring and Mitigating Item Under-Recommendation Bias inPersonalized Ranking Systems☆15Updated 5 years ago
- User-controllable Recommendation Against Filter Bubbles☆17Updated 3 years ago
- ☆41Updated last year
- Fairrec: fairness-aware news recommendation with decomposed adversarial learning☆16Updated 4 years ago
- CIKM'20, Generate Neural Template Explanations for Recommendation☆23Updated 5 months ago
- Pre-training and Lifelong learning for User Embedding and Recommender System☆45Updated last year
- The implementation of “A Context-Aware User-Item Representation Learning for Item Recommendation”, Libing Wu, Cong Quan, Chenliang Li, Qi…☆28Updated 2 years ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆43Updated last year
- Explainable recommendation via interpretable feature mapping☆18Updated 5 years ago
- SIGIR'21, EXTRA: Explanation Ranking Datasets for Explainable Recommendation☆31Updated 5 months ago
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆25Updated 2 years ago
- A novel dynamic recommendation model that focuses on users who have interactions in the past but turn relatively inactive recently☆14Updated 2 years ago
- ☆31Updated 5 years ago
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆108Updated 2 years ago
- This is a pytorch implementation of our paper: "Towards Equivalent Transformation of User Preferences in Cross Domain Recommendation"☆28Updated last year
- A PyTorch implementation of Determinantal Point Process Likelihoods for Sequential Recommendation☆12Updated 7 months ago
- source code of paper "Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News Recommendation", which is accepted…☆30Updated 2 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆71Updated 3 years ago
- Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.☆51Updated 3 years ago
- This repository is the implementation of "A Review-Driven Neural Model for Sequential Recommendation", Chenliang Li, Xichuan Niu, Xiangya…☆15Updated 2 years ago
- Code for "Sequential Recommendation for Cold-start Users with Meta Transitional Learning" (SIGIR2021)☆21Updated 3 years ago
- ☆34Updated 4 years ago
- Codes for SIGIR'22 Paper 'On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation'☆13Updated 2 years ago
- (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"☆30Updated 2 years ago
- ☆24Updated 3 years ago
- Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation☆43Updated 5 years ago
- Source code for ACL 2020 paper “Graph Neural News Recommendation with Unsupervised Preference Disentanglement”☆61Updated 4 years ago
- This is a pytorch (>=1.3.0) implementation of RepeatNet☆35Updated 5 years ago
- Source codes for the paper "Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive G…☆10Updated 4 years ago