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07/19/2023
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community
The research field of Information Retrieval (IR) has evolved significant...
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06/14/2023
Data Augmentation for Seizure Prediction with Generative Diffusion Model
Objective: Seizure prediction is of great importance to improve the life...
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10/14/2022
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation
In most E-commerce platforms, whether the displayed items trigger the us...
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04/26/2022
Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering
Recent years have witnessed the great accuracy performance of graph-base...
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04/26/2022
A Review-aware Graph Contrastive Learning Framework for Recommendation
Most modern recommender systems predict users preferences with two compo...
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04/10/2022
ProFairRec: Provider Fairness-aware News Recommendation
News recommendation aims to help online news platform users find their p...
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08/06/2021
LadRa-Net: Locally-Aware Dynamic Re-read Attention Net for Sentence Semantic Matching
Sentence semantic matching requires an agent to determine the semantic r...
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05/31/2021
Privileged Graph Distillation for Cold Start Recommendation
The cold start problem in recommender systems is a long-standing challen...
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05/16/2021
Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation
As users often express their preferences with binary behavior data (impl...
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04/27/2021
A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation
Influenced by the stunning success of deep learning in computer vision a...
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02/18/2021
Learning Fair Representations for Bipartite Graph based Recommendation
As a key application of artificial intelligence, recommender systems are...
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12/16/2020
R^2-Net: Relation of Relation Learning Network for Sentence Semantic Matching
Sentence semantic matching is one of the fundamental tasks in natural la...
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05/25/2020
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach
In many recommender systems, users and items are associated with attribu...
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05/24/2020
Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation
With the increasing availability of videos, how to edit them and present...
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01/28/2020
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
Graph Convolutional Networks (GCNs) are state-of-the-art graph based rep...
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01/15/2020
DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation
Social recommendation has emerged to leverage social connections among u...
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07/11/2019
Aesthetic Attributes Assessment of Images
Image aesthetic quality assessment has been a relatively hot topic durin...
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05/30/2019
Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach
In fashion recommender systems, each product usually consists of multipl...
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04/20/2019
A Neural Influence Diffusion Model for Social Recommendation
Precise user and item embedding learning is the key to building a succes...
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03/15/2019
Quality-aware Unpaired Image-to-Image Translation
Generative Adversarial Networks (GANs) have been widely used for the ima...
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11/07/2018
SocialGCN: An Efficient Graph Convolutional Network based Model for Social Recommendation
Collaborative Filtering (CF) is one of the most successful approaches fo...
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06/03/2018
Explainable Social Contextual Image Recommendation with Hierarchical Attention
Image based social networks are among the most popular social networking...
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08/23/2017
Predicting Aesthetic Score Distribution through Cumulative Jensen-Shannon Divergence
Aesthetic quality prediction is a challenging task in the computer visio...
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10/07/2016
