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04/05/2023
CoT-MAE v2: Contextual Masked Auto-Encoder with Multi-view Modeling for Passage Retrieval
Growing techniques have been emerging to improve the performance of pass...
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02/28/2022
Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks
As a fundamental component in location-based services, inferring the rel...
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09/16/2021
Popularity Bias Is Not Always Evil: Disentangling Benign and Harmful Bias for Recommendation
Recommender system usually suffers from severe popularity bias – the col...
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09/13/2021
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models
Recent works have shown that powerful pre-trained language models (PLM) ...
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08/22/2021
DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network
Knowledge graph completion (KGC) has become a focus of attention across ...
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05/25/2021
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer
Learning high-quality sentence representations benefits a wide range of ...
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05/08/2021
Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval
Recently, the retrieval models based on dense representations have been ...
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03/11/2021
ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction
Sentiment analysis has attracted increasing attention in e-commerce. The...
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08/19/2020
Leveraging Historical Interaction Data for Improving Conversational Recommender System
Recently, conversational recommender system (CRS) has become an emerging...
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08/18/2020
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization
Recently, significant progress has been made in sequential recommendatio...
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05/27/2019
Transcribing Content from Structural Images with Spotlight Mechanism
Transcribing content from structural images, e.g., writing notes from mu...
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05/19/2019
Earlier Attention? Aspect-Aware LSTM for Aspect Sentiment Analysis
Aspect-based sentiment analysis (ABSA) aims to predict fine-grained sent...
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05/11/2019
Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization
Knowledge graphs capture interlinked information between entities and th...
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05/11/2019
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems
Knowledge graphs capture structured information and relations between a ...
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05/11/2019
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommendation
Knowledge graphs capture structured information and relations between a ...
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01/23/2019
Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation
Collaborative filtering often suffers from sparsity and cold start probl...
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03/14/2018
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
Combinatorial features are essential for the success of many commercial ...
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03/09/2018
Ripple Network: Propagating User Preferences on the Knowledge Graph for Recommender Systems
To address the sparsity and cold start problem of collaborative filterin...
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03/05/2018
Cross-domain novelty seeking trait mining for sequential recommendation
Transfer learning has attracted a large amount of interest and research ...
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01/25/2018
DKN: Deep Knowledge-Aware Network for News Recommendation
Online news recommender systems aim to address the information explosion...
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12/03/2017
SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction
In online social networks people often express attitudes towards others,...
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11/22/2017