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08/31/2023
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations
Recommender models excel at providing domain-specific item recommendatio...
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08/05/2023
ConvFormer: Revisiting Transformer for Sequential User Modeling
Sequential user modeling, a critical task in personalized recommender sy...
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07/14/2023
EmotionPrompt: Leveraging Psychology for Large Language Models Enhancement via Emotional Stimulus
Large language models (LLMs) have achieved significant performance in ma...
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05/27/2023
Towards Better Entity Linking with Multi-View Enhanced Distillation
Dense retrieval is widely used for entity linking to retrieve entities f...
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04/27/2023
Towards Explainable Collaborative Filtering with Taste Clusters Learning
Collaborative Filtering (CF) is a widely used and effective technique fo...
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03/02/2023
Distillation from Heterogeneous Models for Top-K Recommendation
Recent recommender systems have shown remarkable performance by using an...
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08/02/2022
Geometric Interaction Augmented Graph Collaborative Filtering
Graph-based collaborative filtering is capable of capturing the essentia...
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06/01/2022
Negative Sampling for Contrastive Representation Learning: A Review
The learn-to-compare paradigm of contrastive representation learning (CR...
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05/22/2022
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation
A large-scale recommender system usually consists of recall and ranking ...
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02/28/2022
A Mutually Reinforced Framework for Pretrained Sentence Embeddings
The lack of labeled data is a major obstacle to learning high-quality se...
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10/19/2021
Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations
User interest exploration is an important and challenging topic in recom...
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04/22/2021
Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks
Transformer encoding networks have been proved to be a powerful tool of ...
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02/18/2021
Multi-Interest-Aware User Modeling for Large-Scale Sequential Recommendations
Precise user modeling is critical for online personalized recommendation...
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10/21/2020
Self-supervised Graph Learning for Recommendation
Representation learning on user-item graph for recommendation has evolve...
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10/04/2020
PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision
User modeling is critical for many personalized web services. Many exist...
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01/30/2020
Graph Convolution Machine for Context-aware Recommender System
The latest advance in recommendation shows that better user and item rep...
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10/25/2019
Fast and Accurate Knowledge-Aware Document Representation Enhancement for News Recommendations
Knowledge graph contains well-structured external information and has sh...
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07/15/2019
A Novel User Representation Paradigm for Making Personalized Candidate Retrieval
Candidate retrieval is a crucial part in recommendation system, where qu...
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06/24/2019
Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems
The success of recommender systems in modern online platforms is insepar...
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03/14/2018
