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08/15/2023
Learning from All Sides: Diversified Positive Augmentation via Self-distillation in Recommendation
Personalized recommendation relies on user historical behaviors to provi...
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05/11/2023
Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach
In the past decades, recommender systems have attracted much attention i...
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04/11/2023
Triple Sequence Learning for Cross-domain Recommendation
Cross-domain recommendation (CDR) aims to leverage the users' behaviors ...
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10/09/2022
Improve Transformer Pre-Training with Decoupled Directional Relative Position Encoding and Representation Differentiations
In this work, we revisit the Transformer-based pre-trained language mode...
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09/19/2022
Reweighting Clicks with Dwell Time in Recommendation
The click behavior is the most widely-used user positive feedback in rec...
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08/08/2022
UFNRec: Utilizing False Negative Samples for Sequential Recommendation
Sequential recommendation models are primarily optimized to distinguish ...
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07/04/2022
Multi-granularity Item-based Contrastive Recommendation
Contrastive learning (CL) has shown its power in recommendation. However...
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05/23/2022
Prompt Tuning for Discriminative Pre-trained Language Models
Recent works have shown promising results of prompt tuning in stimulatin...
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05/19/2022
Personalized Prompts for Sequential Recommendation
Pre-training models have shown their power in sequential recommendation....
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05/10/2022
Selective Fairness in Recommendation via Prompts
Recommendation fairness has attracted great attention recently. In real-...
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03/20/2022
Multi-view Multi-behavior Contrastive Learning in Recommendation
Multi-behavior recommendation (MBR) aims to jointly consider multiple be...
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12/13/2021
C^2-Rec: An Effective Consistency Constraint for Sequential Recommendation
Sequential recommendation methods play an important role in real-world r...
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12/02/2021
Contrastive Cross-domain Recommendation in Matching
Cross-domain recommendation (CDR) aims to provide better recommendation ...
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10/21/2021
Personalized Transfer of User Preferences for Cross-domain Recommendation
Cold-start problem is still a very challenging problem in recommender sy...
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05/31/2021
Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising
In recommender systems and advertising platforms, marketers always want ...
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05/11/2021
Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks
Recently, embedding techniques have achieved impressive success in recom...
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05/11/2021
Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users
Cold-start problems are enormous challenges in practical recommender sys...
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02/22/2021
UPRec: User-Aware Pre-training for Recommender Systems
Existing sequential recommendation methods rely on large amounts of trai...
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02/07/2021
Improving Accuracy and Diversity in Matching of Recommendation with Diversified Preference Network
Recently, real-world recommendation systems need to deal with millions o...
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11/08/2020
Denoising Relation Extraction from Document-level Distant Supervision
Distant supervision (DS) has been widely used to generate auto-labeled d...
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09/19/2020
Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect
Recommender systems aim to provide item recommendations for users, and a...
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02/19/2020
Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction
Session-based target behavior prediction aims to predict the next item t...
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11/14/2019
FAQ-based Question Answering via Knowledge Anchors
Question answering (QA) aims to understand user questions and find appro...
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08/29/2019
Neural Snowball for Few-Shot Relation Learning
Knowledge graphs typically undergo open-ended growth of new relations. T...
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06/12/2019
Real-time Attention Based Look-alike Model for Recommender System
Recently, deep learning models play more and more important roles in con...
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05/14/2019
Atom Responding Machine for Dialog Generation
Recently, improving the relevance and diversity of dialogue system has a...
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12/21/2018
COSINE: Compressive Network Embedding on Large-scale Information Networks
There is recently a surge in approaches that learn low-dimensional embed...
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10/29/2018
Language Modeling with Sparse Product of Sememe Experts
Most language modeling methods rely on large-scale data to statistically...
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08/22/2018
Hierarchical Neural Network for Extracting Knowledgeable Snippets and Documents
In this study, we focus on extracting knowledgeable snippets and annotat...
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06/17/2018