Recommendation Systems

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

55 leaderboard tables shown for this task, 55 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted. 10 shown of 55 until expanded.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

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

56 datasets whose archive record lists this task, ordered by the archive's paper count. 30 shown of 56 until expanded.

Subtasks archive 2025-07-28

11 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 1,997 papers with code (6,047 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.

• Semi-Supervised Classification with Graph Convolutional Networks
  9 Sep 2016 55 repositories listed Syntology ran 31 of 58 samples · 27 unverified · 22 pointer-only (licence)
  We present a scalable approach for semi-supervised learning on graph-structured data that is based on an efficient variant of convolutional neural networks which operate directly on graphs.
• Neural Collaborative Filtering
  16 Aug 2017 43 repositories listed
  When it comes to model the key factor in collaborative filtering -- the interaction between user and item features, they still resorted to matrix factorization and applied an inner product on the latent features of…
• 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.
• FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction
  23 May 2019 31 repositories listed Syntology ran 2 of 26 samples · 24 unverified · 3 pointer-only (licence)
  In this paper, a new model named FiBiNET as an abbreviation for Feature Importance and Bilinear feature Interaction NETwork is proposed to dynamically learn the feature importance and fine-grained feature interactions.
• Session-based Recommendations with Recurrent Neural Networks
  21 Nov 2015 25 repositories listed Syntology ran 2 of 15 samples · 13 unverified · 4 pointer-only (licence)
  We apply recurrent neural networks (RNN) on a new domain, namely recommender systems.
• DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
  13 Mar 2017 23 repositories listed Syntology ran 2 of 8 samples · 6 unverified · 2 pointer-only (licence)
  Learning sophisticated feature interactions behind user behaviors is critical in maximizing CTR for recommender systems.
• MaskNet: Introducing Feature-Wise Multiplication to CTR Ranking Models by Instance-Guided Mask
  9 Feb 2021 21 repositories listed
  We also turn the feed-forward layer in DNN model into a mixture of addictive and multiplicative feature interactions by proposing MaskBlock in this paper.
• Neural Graph Collaborative Filtering
  20 May 2019 21 repositories listed Syntology ran 6 of 7 samples · 1 unverified
  Further analysis verifies the importance of embedding propagation for learning better user and item representations, justifying the rationality and effectiveness of NGCF.
• Deep Learning Recommendation Model for Personalization and Recommendation Systems
  31 May 2019 19 repositories listed Syntology ran 4 of 28 samples · 24 unverified · 6 pointer-only (licence)
  With the advent of deep learning, neural network-based recommendation models have emerged as an important tool for tackling personalization and recommendation tasks.
• AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
  29 Oct 2018 19 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  Afterwards, a multi-head self-attentive neural network with residual connections is proposed to explicitly model the feature interactions in the low-dimensional space.
• xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
  14 Mar 2018 19 repositories listed Syntology ran 3 of 15 samples · 12 unverified · 2 pointer-only (licence)
  On one hand, the xDeepFM is able to learn certain bounded-degree feature interactions explicitly; on the other hand, it can learn arbitrary low- and high-order feature interactions implicitly.
• MetaFormer Is Actually What You Need for Vision
  22 Nov 2021 18 repositories listed Syntology ran 2 of 3 samples · 1 unverified
  Based on this observation, we hypothesize that the general architecture of the Transformers, instead of the specific token mixer module, is more essential to the model's performance.
• LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
  6 Feb 2020 18 repositories listed Syntology ran 2 of 7 samples · 5 unverified · 2 pointer-only (licence)
  We propose a new model named LightGCN, including only the most essential component in GCN -- neighborhood aggregation -- for collaborative filtering.
• Variational Autoencoders for Collaborative Filtering
  16 Feb 2018 18 repositories listed Syntology ran 2 of 21 samples · 19 unverified · 1 pointer-only (licence)
  This non-linear probabilistic model enables us to go beyond the limited modeling capacity of linear factor models which still largely dominate collaborative filtering research.
• Graph Convolutional Matrix Completion
  7 Jun 2017 17 repositories listed
  We consider matrix completion for recommender systems from the point of view of link prediction on graphs.
• Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations
  27 Feb 2024 12 repositories listed Syntology ran 14 of 42 samples · 28 unverified · 3 pointer-only (licence)
  Large-scale recommendation systems are characterized by their reliance on high cardinality, heterogeneous features and the need to handle tens of billions of user actions on a daily basis.
• DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems
  19 Aug 2020 12 repositories listed Syntology ran 2 of 14 samples · 12 unverified
  Learning effective feature crosses is the key behind building recommender systems.
• FAT-DeepFFM: Field Attentive Deep Field-aware Factorization Machine
  15 May 2019 12 repositories listed
  Although some CTR model such as Attentional Factorization Machine (AFM) has been proposed to model the weight of second order interaction features, we posit the evaluation of feature importance before explicit feature…
• Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts
  19 Jul 2018 11 repositories listed
  In this work, we propose a novel multi-task learning approach, Multi-gate Mixture-of-Experts (MMoE), which explicitly learns to model task relationships from data.
• Product-based Neural Networks for User Response Prediction
  1 Nov 2016 11 repositories listed
  Predicting user responses, such as clicks and conversions, is of great importance and has found its usage in many Web applications including recommender systems, web search and online advertising.
• Temporal Graph Networks for Deep Learning on Dynamic Graphs
  18 Jun 2020 10 repositories listed Syntology ran 4 of 19 samples · 15 unverified
  Graph Neural Networks (GNNs) have recently become increasingly popular due to their ability to learn complex systems of relations or interactions arising in a broad spectrum of problems ranging from biology and particle…
• Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data
  1 Jul 2018 10 repositories listed
  User response prediction is a crucial component for personalized information retrieval and filtering scenarios, such as recommender system and web search.
• Training Deep AutoEncoders for Collaborative Filtering
  5 Aug 2017 10 repositories listed
  Our model is based on deep autoencoder with 6 layers and is trained end-to-end without any layer-wise pre-training.
• Behavior Sequence Transformer for E-commerce Recommendation in Alibaba
  15 May 2019 9 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  Deep learning based methods have been widely used in industrial recommendation systems (RSs).
• Embarrassingly Shallow Autoencoders for Sparse Data
  8 May 2019 9 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  Combining simple elements from the literature, we define a linear model that is geared toward sparse data, in particular implicit feedback data for recommender systems.
• Graph Neural Networks for Social Recommendation
  19 Feb 2019 9 repositories listed Syntology ran 3 of 4 samples · 1 unverified · 3 pointer-only (licence)
  These advantages of GNNs provide great potential to advance social recommendation since data in social recommender systems can be represented as user-user social graph and user-item graph; and learning latent factors of…
• 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.
• Real World Large Scale Recommendation Systems Reproducibility and Smooth Activations
  14 Feb 2022 8 repositories listed
  We describe a novel family of smooth activations; Smooth ReLU (SmeLU), designed to improve reproducibility with mathematical simplicity, with potentially cheaper implementation.
• BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
  14 Apr 2019 8 repositories listed Syntology ran 2 of 6 samples · 4 unverified · 1 pointer-only (licence)
  To address this problem, we train the bidirectional model using the Cloze task, predicting the masked items in the sequence by jointly conditioning on their left and right context.
• Knowledge Graph Convolutional Networks for Recommender Systems
  18 Mar 2019 8 repositories listed Syntology ran 1 of 5 samples · 4 unverified · 1 pointer-only (licence)
  To alleviate sparsity and cold start problem of collaborative filtering based recommender systems, researchers and engineers usually collect attributes of users and items, and design delicate algorithms to exploit these…

Syntology lines on 21 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.