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A new document representation based on global policy for supervised term weighting schemes in text categorization

Mathematical biosciences and engineering : MBE, 2022-03, Vol.19 (5), p.5223-5240

2022

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Attribute-aware deep attentive recommendation

The Journal of supercomputing, 2021-06, Vol.77 (6), p.5510-5527

2021

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Integrating an Attention Mechanism and Convolution Collaborative Filtering for Document Context-Aware Rating Prediction

IEEE access, 2019, Vol.7, p.3826-3835

2019

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Extreme Residual Connected Convolution-Based Collaborative Filtering for Document Context-Aware Rating Prediction

IEEE access, 2020, Vol.8, p.53604-53613

2020

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Relationship-aware contrastive learning for social recommendations

Information sciences, 2023-06, Vol.629, p.778-797

2023

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Adaptive Deep Modeling of Users and Items Using Side Information for Recommendation

IEEE transaction on neural networks and learning systems, 2020-03, Vol.31 (3), p.737-748

2020

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A probabilistic model derived term weighting scheme for text classification

Pattern recognition letters, 2018-07, Vol.110, p.23-29

2018

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KCRec: Knowledge-aware representation Graph Convolutional Network for Recommendation

Knowledge-based systems, 2021-10, Vol.230, p.107399, Article 107399

2021

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Trust-Aware Collaborative Filtering with a Denoising Autoencoder

Neural processing letters, 2019-04, Vol.49 (2), p.835-849

2019

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Collaborative Filtering Based on User's Drifting Interests

International journal of advancements in computing technology, 2012-09, Vol.4 (15), p.336-345

2012

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Enhancing Session-Based Recommendations by Fusing Candidate Items

International arab journal of information technology, 2024, Vol.21 (6)

2024

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Deep Plot-Aware Generalized Matrix Factorization for Collaborative Filtering

Neural processing letters, 2020-12, Vol.52 (3), p.1983-1995

2020

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Reliable Negative Extracting Based on kNN for Learning from Positive and Unlabeled Examples

Journal of computers, 2009-01, Vol.4 (1)

2009

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Prediction of Ubiquitination Sites with Feature-Weighting Scheme and Naive Bayes Vectorizer

Journal of computational and theoretical nanoscience, 2016-01, Vol.13 (1), p.286-293

2016

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Learning from Positive and Unlabeled Examples: A Survey

2008 International Symposiums on Information Processing, 2008, p.650-654

2008

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A New Category-Based Weighting Scheme for Automated Text Categorization

Journal of computational and theoretical nanoscience, 2015-12, Vol.12 (12), p.5198-5205

2015

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A New Weighted Similarity Method Based on Neighborhood User Contributions for Collaborative Filtering

2016 IEEE First International Conference on Data Science in Cyberspace (DSC), 2016, p.376-381

2016

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A Novel Recommendation Method Based on User’s Interest and Heterogeneous Information

Web Technologies and Applications, p.90-101

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A Novel Recommendation Algorithm Based on Heterogeneous Information Network Similarity and Preference Diffusion

Web-Age Information Management, p.53-64

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A novel reliable negative method based on clustering for learning from positive and unlabeled examples

Proceedings of the 4th Asia information retrieval conference on Information retrieval technology, 2008, p.385-392

2008

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Survey of user behaviors as implicit feedback

2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, 2010, Vol.6, p.345-348

2010

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A Novel K-Means Clustering Algorithm Based on Positive Examples and Careful Seeding

2010 International Conference on Computational and Information Sciences, 2010, p.767-770

2010

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Tri-Training Based Learning from Positive and Unlabeled Data

2008 International Symposiums on Information Processing, 2008, p.640-644

2008

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A Novel Reliable Negative Method Based on Clustering for Learning from Positive and Unlabeled Examples

Information Retrieval Technology, p.385-392

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Item Recommendation Based on Heterogeneous Information Networks with Feedback Information

2019 International Conference on High Performance Big Data and Intelligent Systems (HPBD&IS), 2019, p.61-67

2019

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A new document representation based on global policy for supervised term weighting schemes in text categorization

Attribute-aware deep attentive recommendation

Integrating an Attention Mechanism and Convolution Collaborative Filtering for Document Context-Aware Rating Prediction

Extreme Residual Connected Convolution-Based Collaborative Filtering for Document Context-Aware Rating Prediction

Relationship-aware contrastive learning for social recommendations

Adaptive Deep Modeling of Users and Items Using Side Information for Recommendation

A probabilistic model derived term weighting scheme for text classification

KCRec: Knowledge-aware representation Graph Convolutional Network for Recommendation

Trust-Aware Collaborative Filtering with a Denoising Autoencoder

Collaborative Filtering Based on User's Drifting Interests

Enhancing Session-Based Recommendations by Fusing Candidate Items

Deep Plot-Aware Generalized Matrix Factorization for Collaborative Filtering

Reliable Negative Extracting Based on kNN for Learning from Positive and Unlabeled Examples

Prediction of Ubiquitination Sites with Feature-Weighting Scheme and Naive Bayes Vectorizer

Learning from Positive and Unlabeled Examples: A Survey

A New Category-Based Weighting Scheme for Automated Text Categorization

A New Weighted Similarity Method Based on Neighborhood User Contributions for Collaborative Filtering

A Novel Recommendation Method Based on User’s Interest and Heterogeneous Information

A Novel Recommendation Algorithm Based on Heterogeneous Information Network Similarity and Preference Diffusion

A novel reliable negative method based on clustering for learning from positive and unlabeled examples

Survey of user behaviors as implicit feedback

A Novel K-Means Clustering Algorithm Based on Positive Examples and Careful Seeding

Tri-Training Based Learning from Positive and Unlabeled Data

A Novel Reliable Negative Method Based on Clustering for Learning from Positive and Unlabeled Examples

Item Recommendation Based on Heterogeneous Information Networks with Feedback Information

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