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09/21/2023
ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems
The past decade has seen rapid growth of distributed stream data process...
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06/22/2023
Reinforcement Federated Learning Method Based on Adaptive OPTICS Clustering
Federated learning is a distributed machine learning technology, which r...
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05/04/2023
RetroMAE-2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models
To better support information retrieval tasks such as web search and ope...
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11/01/2022
Efficient Graph Neural Network Inference at Large Scale
Graph neural networks (GNNs) have demonstrated excellent performance in ...
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11/01/2022
Distributed Graph Neural Network Training: A Survey
Graph neural networks (GNNs) are a type of deep learning models that lea...
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10/12/2022
Adaptive Dual Channel Convolution Hypergraph Representation Learning for Technological Intellectual Property
In the age of big data, the demand for hidden information mining in tech...
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10/07/2022
A Relational Triple Extraction Method Based on Feature Reasoning for Technological Patents
The relation triples extraction method based on table filling can addres...
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06/30/2022
A Rare Topic Discovery Model for Short Texts Based on Co-occurrence word Network
We provide a simple and general solution for the discovery of scarce top...
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06/06/2022
A sentiment analysis model for car review texts based on adversarial training and whole word mask BERT
In the field of car evaluation, more and more netizens choose to express...
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06/05/2022
Sentiment Analysis of Online Travel Reviews Based on Capsule Network and Sentiment Lexicon
With the development of online travel services, it has great application...
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05/24/2022
RetroMAE: Pre-training Retrieval-oriented Transformers via Masked Auto-Encoder
Pre-trained models have demonstrated superior power on many important ta...
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04/20/2022
Profiling and Evolution of Intellectual Property
In recent years, with the rapid growth of Internet data, the number and ...
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04/13/2022
Research on Intellectual Property Resource Profile and Evolution Law
In the era of big data, intellectual property-oriented scientific and te...
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04/13/2022
Retrieval of Scientific and Technological Resources for Experts and Scholars
Institutions of higher learning, research institutes and other scientifi...
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04/01/2022
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings
Vector quantization (VQ) based ANN indexes, such as Inverted File System...
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03/31/2022
Scientific and Technological Text Knowledge Extraction Method of based on Word Mixing and GRU
The knowledge extraction task is to extract triple relations (head entit...
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03/30/2022
An I/O-Efficient Disk-based Graph System for Scalable Second-Order Random Walk of Large Graphs
Random walk is widely used in many graph analysis tasks, especially the ...
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03/21/2022
Web Page Content Extraction Based on Multi-feature Fusion
With the rapid development of Internet technology, people have more and ...
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03/21/2022
An Intellectual Property Entity Recognition Method Based on Transformer and Technological Word Information
Patent texts contain a large amount of entity information. Through named...
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02/18/2022
Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network
Heterogeneous Graph Neural Network (HGNN) has been successfully employed...
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02/13/2022
Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search
Embedding based retrieval (EBR) is a fundamental building block in many ...
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01/14/2022
Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval
Ad-hoc search calls for the selection of appropriate answers from a mass...
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12/26/2021
Efficient Diversity-Driven Ensemble for Deep Neural Networks
The ensemble of deep neural networks has been shown, both theoretically ...
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08/24/2021
Self-Supervised Graph Co-Training for Session-based Recommendation
Session-based recommendation targets next-item prediction by exploiting ...
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04/16/2021
Search-oriented Differentiable Product Quantization
Product quantization (PQ) is a popular approach for maximum inner produc...
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02/18/2021
Training Large-Scale News Recommenders with Pretrained Language Models in the Loop
News recommendation calls for deep insights of news articles' underlying...
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10/10/2020
UniNet: Scalable Network Representation Learning with Metropolis-Hastings Sampling
Network representation learning (NRL) technique has been successfully ad...
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12/16/2018
NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding
Knowledge Graph (KG) embedding is a fundamental problem in data mining r...
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11/06/2018