News Recommendation

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

7 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 75 papers with code (193 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Wide & Deep Learning for Recommender Systems
  24 Jun 2016 39 repositories listed Syntology ran 0 of 5 samples · 5 unverified · 5 pointer-only (licence)
  Memorization of feature interactions through a wide set of cross-product feature transformations are effective and interpretable, while generalization requires more feature engineering effort.
• Fastformer: Additive Attention Can Be All You Need
  20 Aug 2021 13 repositories listed Syntology ran 4 of 4 samples · 0 unverified · 3 pointer-only (licence)
  In this way, Fastformer can achieve effective context modeling with linear complexity.
• RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems
  9 Mar 2018 9 repositories listed Syntology ran 1 of 7 samples · 6 unverified · 1 pointer-only (licence)
  To address the sparsity and cold start problem of collaborative filtering, researchers usually make use of side information, such as social networks or item attributes, to improve recommendation performance.
• Neural News Recommendation with Attentive Multi-View Learning
  12 Jul 2019 7 repositories listed
  In the user encoder we learn the representations of users based on their browsed news and apply attention mechanism to select informative news for user representation learning.
• NRPA: Neural Recommendation with Personalized Attention
  29 May 2019 5 repositories listed
  In this paper we propose a neural recommendation approach with personalized attention to learn personalized representations of users and items from reviews.
• Unbiased Offline Evaluation of Contextual-bandit-based News Article Recommendation Algorithms
  31 Mar 2010 5 repositories listed
  \emph{Offline} evaluation of the effectiveness of new algorithms in these applications is critical for protecting online user experiences but very challenging due to their "partial-label" nature.
• Neural News Recommendation with Multi-Head Self-Attention
  1 Nov 2019 4 repositories listed
  The core of our approach is a news encoder and a user encoder.
• DKN: Deep Knowledge-Aware Network for News Recommendation
  25 Jan 2018 4 repositories listed
  To solve the above problems, in this paper, we propose a deep knowledge-aware network (DKN) that incorporates knowledge graph representation into news recommendation.
• Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation
  23 Jan 2019 3 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  Collaborative filtering often suffers from sparsity and cold start problems in real recommendation scenarios, therefore, researchers and engineers usually use side information to address the issues and improve the…
• News Session-Based Recommendations using Deep Neural Networks
  31 Jul 2018 3 repositories listed
  This architecture is composed of two modules, the first responsible to learn news articles representations, based on their text and metadata, and the second module aimed to provide session-based recommendations using…
• MIND Your Language: A Multilingual Dataset for Cross-lingual News Recommendation
  26 Mar 2024 2 repositories listed
  Our findings reveal that (i) current NNRs, even when based on a multilingual language model, suffer from substantial performance losses under ZS-XLT and that (ii) inclusion of target-language data in FS-XLT training has…
• Discrete Semantic Tokenization for Deep CTR Prediction
  13 Mar 2024 2 repositories listed
  Incorporating item content information into click-through rate (CTR) prediction models remains a challenge, especially with the time and space constraints of industrial scenarios.
• Train Once, Use Flexibly: A Modular Framework for Multi-Aspect Neural News Recommendation
  29 Jul 2023 2 repositories listed
  Recent neural news recommenders (NNRs) extend content-based recommendation (1) by aligning additional aspects (e.
• ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models
  11 May 2023 2 repositories listed
  Personalized content-based recommender systems have become indispensable tools for users to navigate through the vast amount of content available on platforms like daily news websites and book recommendation services.
• VLSNR:Vision-Linguistics Coordination Time Sequence-aware News Recommendation
  6 Oct 2022 2 repositories listed
  In our work, we propose a vision-linguistics coordinate time sequence news recommendation.
• MIND: A Large-scale Dataset for News Recommendation
  1 Jul 2020 2 repositories listed
  News recommendation is an important technique for personalized news service.
• Privacy-Preserving News Recommendation Model Learning
  21 Mar 2020 2 repositories listed
  Extensive experiments on a real-world dataset show the effectiveness of our method in news recommendation model training with privacy protection.
• Contextual Hybrid Session-based News Recommendation with Recurrent Neural Networks
  15 Apr 2019 2 repositories listed Syntology ran 0 of 13 samples · 13 unverified
  The recommendation of news is often considered to be challenging, since the relevance of an article for a user can depend on a variety of factors, including the user's short-term reading interests, the reader's context,…
• I'll believe it when I see it: Images increase misinformation sharing in Vision-Language Models
  19 May 2025 1 repository listed
  In humans, visual content is known to boost credibility and shareability of information, yet its effect on vision-language models (VLMs) remains unclear.
• Peeling Back the Layers: An In-Depth Evaluation of Encoder Architectures in Neural News Recommenders
  2 Oct 2024 1 repository listed
  In this work, we perform a comprehensive analysis of encoder architectures in neural news recommender systems.
• Comprehensive dataset of user-submitted articles with ideological and extreme bias from Reddit
  12 Aug 2024 1 repository listed
  In total, our combined dataset of 1.
• News Without Borders: Domain Adaptation of Multilingual Sentence Embeddings for Cross-lingual News Recommendation
  18 Jun 2024 1 repository listed
  Rapidly growing numbers of multilingual news consumers pose an increasing challenge to news recommender systems in terms of providing customized recommendations.
• RICo: Reddit ideological communities
  5 Jun 2024 1 repository listed
  Previous work addressed label curation by using ideological subreddits (r/Liberal and r/Conservative for Liberal and Conservative classes) to label the articles shared on those subreddits according to their prescribed…
• News Recommendation with Category Description by a Large Language Model
  13 May 2024 1 repository listed
  Personalized news recommendations are essential for online news platforms to assist users in discovering news articles that match their interests from a vast amount of online content.
• Generative News Recommendation
  6 Mar 2024 1 repository listed
  In this paper, we propose a novel generative news recommendation paradigm that includes two steps: (1) Leveraging the internal knowledge and reasoning capabilities of the Large Language Model (LLM) to perform high-level…
• RecPrompt: A Self-tuning Prompting Framework for News Recommendation Using Large Language Models
  16 Dec 2023 1 repository listed
  The results show LLM's effectiveness in accurately identifying topics of interest and delivering comprehensive topic-based explanations.
• NewsRecLib: A PyTorch-Lightning Library for Neural News Recommendation
  2 Oct 2023 1 repository listed Syntology ran 4 of 4 samples · 0 unverified
  NewsRecLib is an open-source library based on Pytorch-Lightning and Hydra developed for training and evaluating neural news recommendation models.
• NeMig -- A Bilingual News Collection and Knowledge Graph about Migration
  1 Sep 2023 1 repository listed
  News recommendation plays a critical role in shaping the public's worldviews through the way in which it filters and disseminates information about different topics.
• LKPNR: LLM and KG for Personalized News Recommendation Framework
  23 Aug 2023 1 repository listed Syntology ran 7 of 7 samples · 0 unverified · 7 pointer-only (licence)
  Traditional methods are usually difficult to grasp the complex semantic information in news texts, resulting in unsatisfactory recommendation results.
• Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations
  13 Jul 2023 1 repository listed
  Precisely recommending candidate news articles to users has always been a core challenge for personalized news recommendation systems.

Syntology lines on 7 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.