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09/14/2023
NineRec: A Benchmark Dataset Suite for Evaluating Transferable Recommendation
Learning a recommender system model from an item's raw modality features...
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09/13/2023
An Image Dataset for Benchmarking Recommender Systems with Raw Pixels
Recommender systems (RS) have achieved significant success by leveraging...
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05/24/2023
Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights
Adapters, a plug-in neural network module with some tunable parameters, ...
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05/19/2023
Exploring the Upper Limits of Text-Based Collaborative Filtering Using Large Language Models: Discoveries and Insights
Text-based collaborative filtering (TCF) has become the mainstream appro...
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03/24/2023
Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited
Recommendation models that utilize unique identities (IDs) to represent ...
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10/13/2022
Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems
Existing benchmark datasets for recommender systems (RS) either are crea...
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06/14/2022
Exploring evolution-based -free protein language models as protein function predictors
Large-scale Protein Language Models (PLMs) have improved performance in ...
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06/13/2022
TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback
Learning big models and then transfer has become the de facto practice i...
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10/31/2021
Enhancing Top-N Item Recommendations by Peer Collaboration
Deep neural networks (DNN) have achieved great success in the recommende...
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07/17/2021
Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking
This ability to learn consecutive tasks without forgetting how to perfor...
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07/15/2021
Scene-adaptive Knowledge Distillation for Sequential Recommendation via Differentiable Architecture Search
Sequential recommender systems (SRS) have become a research hotspot due ...
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06/21/2021
Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification
Lifelong learning capabilities are crucial for sentiment classifiers to ...
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06/15/2021
User-specific Adaptive Fine-tuning for Cross-domain Recommendations
Making accurate recommendations for cold-start users has been a longstan...
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12/14/2020
StackRec: Efficient Training of Very Deep Sequential Recommender Models by Layer Stacking
Deep learning has brought great progress for the sequential recommendati...
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09/29/2020
One Person, One Model, One World: Learning Continual User Representation without Forgetting
Learning generic user representations which can then be applied to other...
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04/28/2020
CmnRec: Sequential Recommendations with Chunk-accelerated Memory Network
Recently, Memory-based Neural Recommenders (MNR) have demonstrated super...
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04/21/2020
A Generic Network Compression Framework for Sequential Recommender Systems
Sequential recommender systems (SRS) have become the key technology in c...
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01/13/2020
Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation
Inductive transfer learning has had a big impact on computer vision and ...
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01/13/2020
Parameter-Efficient Transfer from Sequential Behaviors for User Profiling and Recommendation
Inductive transfer learning has greatly impacted the computer vision and...
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06/26/2019
Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering
As the core of recommender system, collaborative filtering (CF) models t...
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09/19/2018
Adversarial Training Towards Robust Multimedia Recommender System
With the prevalence of multimedia content on the Web, developing recomme...
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08/15/2018
A Simple but Hard-to-Beat Baseline for Session-based Recommendations
Convolutional Neural Networks (CNNs) models have been recently introduce...
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01/05/2018
VSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling
Jointing visual-semantic embeddings (VSE) have become a research hotpot ...
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10/26/2017
