Multi-Domain Recommender Systems

6 papers with code • 0 benchmarks • 3 datasets

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Most implemented papers

Outer Product-based Neural Collaborative Filtering

duxy-me/ConvNCF 12 Aug 2018

In this work, we contribute a new multi-layer neural network architecture named ONCF to perform collaborative filtering.

Microsoft Recommenders: Tools to Accelerate Developing Recommender Systems

microsoft/recommenders 27 Aug 2020

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.

Dive into Deep Learning

d2l-ai/d2l-en 21 Jun 2021

This open-source book represents our attempt to make deep learning approachable, teaching readers the concepts, the context, and the code.

One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation

chain123/cat-art 22 Nov 2022

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 embedding in the target domain.

Exploiting Graph Structured Cross-Domain Representation for Multi-Domain Recommendation

alarca94/magrec 12 Feb 2023

This approach helps to mitigate the negative knowledge transfer problem from multiple domains and improve overall representation.