Sequential Recommendation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

13 leaderboard tables shown for this task, 13 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 13 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

11 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.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 300 papers with code (554 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.

• 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.
• Self-Attentive Sequential Recommendation
  20 Aug 2018 8 repositories listed Syntology ran 3 of 20 samples · 17 unverified
  Sequential dynamics are a key feature of many modern recommender systems, which seek to capture the `context' of users' activities on the basis of actions they have performed recently.
• TiSASRec: Time Interval Aware Self-Attention for Sequential Recommendation
  1 Jan 2020 5 repositories listed
  Sequential recommender systems seek to exploit the order of users' interactions, in order to predict their next action based on the context of what they have done recently.
• Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding
  19 Sep 2018 5 repositories listed
  Top-N sequential recommendation models each user as a sequence of items interacted in the past and aims to predict top-N ranked items that a user will likely interact in a `near future'.
• OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems
  19 Jun 2023 4 repositories listed Syntology ran 13 of 25 samples · 12 unverified
  In recent years, the integration of Large Language Models (LLMs) into recommender systems has garnered interest among both practitioners and researchers.
• DeepRec: An Open-source Toolkit for Deep Learning based Recommendation
  25 May 2019 4 repositories listed
  In this toolkit, we have implemented a number of deep learning based recommendation algorithms using Python and the widely used deep learning package - Tensorflow.
• Your Causal Self-Attentive Recommender Hosts a Lonely Neighborhood
  4 Jun 2024 3 repositories listed
  In the context of sequential recommendation, a pivotal issue pertains to the comparative analysis between bi-directional/auto-encoding (AE) and uni-directional/auto-regressive (AR) attention mechanisms, where the…
• Context-Aware Sequential Model for Multi-Behaviour Recommendation
  15 Dec 2023 3 repositories listed
  Sequential recommendation models are crucial for next-item recommendations in online platforms, capturing complex patterns in user interactions.
• Revisiting Self-Attentive Sequential Recommendation
  13 Apr 2025 2 repositories listed
  Quite some details in the classical self-attentive sequential recommender model could be revisited, and some new experiments may lead to new findings, without changing the general model structure which was the focus of…
• LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
  30 Sep 2024 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  In this paper, we introduce LLMEmb, a novel method leveraging LLM to generate item embeddings that enhance SRS performance.
• SSD4Rec: A Structured State Space Duality Model for Efficient Sequential Recommendation
  2 Sep 2024 2 repositories listed
  Sequential recommendation methods are crucial in modern recommender systems for their remarkable capability to understand a user's changing interests based on past interactions.
• SIGMA: Selective Gated Mamba for Sequential Recommendation
  21 Aug 2024 2 repositories listed
  In various domains, Sequential Recommender Systems (SRS) have become essential due to their superior capability to discern intricate user preferences.
• LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation
  31 May 2024 2 repositories listed
  As one of the pioneers in this field, we propose the Large Language Models Enhancement framework for Sequential Recommendation (LLM-ESR).
• IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT
  2 Apr 2024 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  This is also a notable improvement over the Adapter and LoRA, which require 37-39 GB GPU memory and 350-380 seconds per epoch for training.
• Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models
  6 Mar 2024 2 repositories listed
  Sequential recommendation aims to estimate the dynamic user preferences and sequential dependencies among historical user behaviors.
• MACRec: a Multi-Agent Collaboration Framework for Recommendation
  23 Feb 2024 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  LLM-based agents have gained considerable attention for their decision-making skills and ability to handle complex tasks.
• End-to-end Learnable Clustering for Intent Learning in Recommendation
  11 Jan 2024 2 repositories listed
  Concretely, we encode user behavior sequences and initialize the cluster centers (latent intents) as learnable neurons.
• An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention
  16 Dec 2023 2 repositories listed Syntology ran 7 of 7 samples · 0 unverified · 7 pointer-only (licence)
  In the SR domain, we, for the first time, show that the same problem occurs.
• E4SRec: An Elegant Effective Efficient Extensible Solution of Large Language Models for Sequential Recommendation
  5 Dec 2023 2 repositories listed Syntology ran 4 of 6 samples · 2 unverified
  Furthermore, practical ID-based recommendation strategies, reliant on a huge number of unique identities (IDs) to represent users and items, have gained prominence in real-world recommender systems due to their…
• Large Language Model Can Interpret Latent Space of Sequential Recommender
  31 Oct 2023 2 repositories listed Syntology ran 5 of 7 samples · 2 unverified · 7 pointer-only (licence)
  Sequential recommendation is to predict the next item of interest for a user, based on her/his interaction history with previous items.
• Diffusion Augmentation for Sequential Recommendation
  22 Sep 2023 2 repositories listed
  However, sequential recommendation often faces the problem of data sparsity, which widely exists in recommender systems.
• gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling
  14 Aug 2023 2 repositories listed Syntology ran 4 of 8 samples · 4 unverified
  A large catalogue size is one of the central challenges in training recommendation models: a large number of items makes them memory and computationally inefficient to compute scores for all items during training,…
• TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest
  31 May 2023 2 repositories listed
  This paper (1) presents Pinterest's ranking architecture for Homefeed, our personalized recommendation product and the largest engagement surface; (2) proposes TransAct, a sequential model that extracts users'…
• Graph Masked Autoencoder for Sequential Recommendation
  8 May 2023 2 repositories listed
  While some powerful neural network architectures (e.
• CARCA: Context and Attribute-Aware Next-Item Recommendation via Cross-Attention
  4 Apr 2022 2 repositories listed
  This cross-attention allows CARCA to harness the correlation between old and recent items in the user profile and their influence on deciding which item to recommend next.
• Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)
  24 Mar 2022 2 repositories listed
  For a long time, different recommendation tasks typically require designing task-specific architectures and training objectives.
• Symmetry Structured Convolutional Neural Networks
  3 Mar 2022 2 repositories listed
  We consider Convolutional Neural Networks (CNNs) with 2D structured features that are symmetric in the spatial dimensions.
• Filter-enhanced MLP is All You Need for Sequential Recommendation
  28 Feb 2022 2 repositories listed
  Recently, deep neural networks such as RNN, CNN and Transformer have been applied in the task of sequential recommendation, which aims to capture the dynamic preference characteristics from logged user behavior data for…
• CT4Rec: Simple yet Effective Consistency Training for Sequential Recommendation
  13 Dec 2021 2 repositories listed
  State-of-the-art sequential recommendation models proposed very recently combine contrastive learning techniques for obtaining high-quality user representations.
• Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation
  12 Oct 2021 2 repositories listed Syntology ran 1 of 4 samples · 3 unverified
  In this paper, both empirical and theoretical investigations of this representation degeneration problem are first provided, based on which a novel recommender model DuoRec is proposed to improve the item embeddings…

Syntology lines on 11 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.