Multimedia recommendation

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Most implemented papers archive 2025-07-28

15 shown of 15 papers with code (23 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.

• Multi-Modal Self-Supervised Learning for Recommendation
  21 Feb 2023 2 repositories listed
  The online emergence of multi-modal sharing platforms (eg, TikTok, Youtube) is powering personalized recommender systems to incorporate various modalities (eg, visual, textual and acoustic) into the latent user…
• Modality-Balanced Learning for Multimedia Recommendation
  26 Jul 2024 1 repository listed
  To address these issues, we propose a Counterfactual Knowledge Distillation method that could solve the imbalance problem and make the best use of all modalities.
• It is Never Too Late to Mend: Separate Learning for Multimedia Recommendation
  12 Jun 2024 1 repository listed
  Specifically, we first use GNN to learn the representations of users and items in different modalities and split each modal representation into generic and unique parts.
• BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation
  1 Jun 2024 1 repository listed
  This adapter reconstructs the content feature with the guidance of behavioral information, enabling content features accurately reflecting user preferences.
• MONET: Modality-Embracing Graph Convolutional Network and Target-Aware Attention for Multimedia Recommendation
  15 Dec 2023 1 repository listed
  In this paper, we focus on multimedia recommender systems using graph convolutional networks (GCNs) where the multimodal features as well as user-item interactions are employed together.
• Formalizing Multimedia Recommendation through Multimodal Deep Learning
  11 Sep 2023 1 repository listed
  Recommender systems (RSs) offer personalized navigation experiences on online platforms, but recommendation remains a challenging task, particularly in specific scenarios and domains.
• Multi-View Graph Convolutional Network for Multimedia Recommendation
  7 Aug 2023 1 repository listed
  Meanwhile, a behavior-aware fuser is designed to comprehensively model user preferences by adaptively learning the relative importance of different modality features.
• LightGT: A Light Graph Transformer for Multimedia Recommendation
  18 Jul 2023 1 repository listed
  Considering its challenges in effectiveness and efficiency, we propose a novel Transformer-based recommendation model, termed as Light Graph Transformer model (LightGT).
• Self-Supervised Learning for Multimedia Recommendation
  30 Jun 2022 1 repository listed
  To capture multi-modal patterns in the data itself, we go beyond the supervised learning paradigm, and incorporate the idea of self-supervised learning (SSL) into multimedia recommendation.
• DualGNN: Dual Graph Neural Network for Multimedia Recommendation
  24 Dec 2021 1 repository listed
  Specifically, we first introduce a single-modal representation learning module, which performs graph operations on the user-microvideo graph in each modality to capture single-modal user preferences on different…
• GRCN: Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback
  3 Nov 2021 1 repository listed
  Reorganizing implicit feedback of users as a user-item interaction graph facilitates the applications of graph convolutional networks (GCNs) in recommendation tasks.
• Latent Structure Mining with Contrastive Modality Fusion for Multimedia Recommendation
  1 Nov 2021 1 repository listed
  Although having access to multiple modalities might allow us to capture rich information, we argue that the simple coarse-grained fusion by linear combination or concatenation in previous work is insufficient to fully…
• Mining Latent Structures for Multimedia Recommendation
  19 Apr 2021 1 repository listed Syntology ran 3 of 3 samples · 0 unverified
  To be specific, in the proposed LATTICE model, we devise a novel modality-aware structure learning layer, which learns item-item structures for each modality and aggregates multiple modalities to obtain latent item…
• ContentWise Impressions: An Industrial Dataset with Impressions Included
  3 Aug 2020 1 repository listed
  In this article, we introduce the ContentWise Impressions dataset, a collection of implicit interactions and impressions of movies and TV series from an Over-The-Top media service, which delivers its media contents over…
• MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video
  19 Oct 2019 1 repository listed
  Existing works on multimedia recommendation largely exploit multi-modal contents to enrich item representations, while less effort is made to leverage information interchange between users and items to enhance user…

Syntology lines on 1 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.