Multi-Domain Recommender Systems

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

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

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

7 shown of 7 papers with code (10 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.

• Everyone's a Winner! On Hyperparameter Tuning of Recommendation Models
  23 Sep 2023 1 repository listed
  The performance of a recommender system algorithm in terms of common offline accuracy measures often strongly depends on the chosen hyperparameters.
• Exploiting Graph Structured Cross-Domain Representation for Multi-Domain Recommendation
  12 Feb 2023 1 repository listed
  This approach helps to mitigate the negative knowledge transfer problem from multiple domains and improve overall representation.
• One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation
  22 Nov 2022 1 repository listed
  CAT-ART boosts the recommendation performance in any target domain through the combined use of the learned global user representation and knowledge transferred from other domains, in addition to the original user…
• Decentralized Multi-Target Cross-Domain Recommendation for Multi-Organization Collaborations
  26 Oct 2021 1 repository listed
  Recommender Systems (RSs) are operated locally by different organizations in many realistic scenarios.
• Dive into Deep Learning
  21 Jun 2021 1 repository listed
  This open-source book represents our attempt to make deep learning approachable, teaching readers the concepts, the context, and the code.
• Microsoft Recommenders: Tools to Accelerate Developing Recommender Systems
  27 Aug 2020 1 repository listed
  The purpose of this work is to highlight the content of the Microsoft Recommenders repository and show how it can be used to reduce the time involved in developing recommender systems.
• Outer Product-based Neural Collaborative Filtering
  12 Aug 2018 1 repository listed
  In this work, we contribute a new multi-layer neural network architecture named ONCF to perform collaborative filtering.