Results 1 to 10 of about 24,916,518 (300)
A Technique of Recursive Reliability-Based Missing Data Imputation for Collaborative Filtering
Applied Sciences, 2021 Collaborative filtering (CF) is a recommendation technique that analyzes the behavior of various users and recommends the items preferred by users with similar preferences.
Sun-Young Ihm +5 more
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Neighbor interaction-based personalised transfer for cross-domain recommendation
Connection Science, 2023 Mapping-based cross-domain recommendation (CDR) can effectively tackle the cold-start problem in traditional recommender systems. However, existing mapping-based CDR methods ignore data-sparse users in the source domain, which may impact the transfer ...
Kelei Sun +4 more
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Six-Granularity Based Chinese Short Text Classification
IEEE Access, 2023 Short text classification is an important task in Natural Language Processing (NLP). The classification result for Chinese short text is always not ideal due to the sparsity problem of them.
Xinjie Sun, Zhifang Liu, Xingying Huo
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Software Defect Density Prediction Using Deep Learning
IEEE Access, 2022 Delivering a reliable and high-quality software system to client is a big challenge in software development and evolution process. One of the software measures that confirm the quality of the system is the defect density.
Firas Alghanim +3 more
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Word-Level and Pinyin-Level Based Chinese Short Text Classification
IEEE Access, 2022 Short text classification is an important branch of Natural Language Processing. Although CNN and RNN have achieved satisfactory results in the text classification tasks, they are difficult to apply to the Chinese short text classification because of the
Xinjie Sun, Xingying Huo
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Integrating Stacked Sparse Auto-Encoder Into Matrix Factorization for Rating Prediction
IEEE Access, 2021 Currently, collaborative filtering technology has been widely used in personalized recommender systems. The problem of data sparsity is a severe challenge faced by traditional collaborative filtering methods based on matrix factorization techniques.
Yihao Zhang +3 more
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Mathematics, 2022 With the transition to neural architectures, machine translation achieves very good quality for several resource-rich languages. However, the results are still much worse for languages with complex morphology, especially if they are low-resource ...
Gregor Donaj, Mirjam Sepesy Maučec
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An Efficient Approach to Manage Natural Noises in Recommender Systems
Algorithms, 2023 Recommender systems search the underlying preferences of users according to their historical ratings and recommend a list of items that may be of interest to them. Rating information plays an important role in revealing the true tastes of users. However,
Chenhong Luo +5 more
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Preference-Tree-Based Real-Time Recommendation System
Entropy, 2022 In the current era of online information overload, recommendation systems are very useful for helping users locate content that may be of interest to them.
Seongju Kang, Kwangsue Chung
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Improving Data Sparsity in Recommender Systems Using Matrix Regeneration with Item Features
Mathematics, 2023 With the development of the Web, users spend more time accessing information that they seek. As a result, recommendation systems have emerged to provide users with preferred contents by filtering abundant information, along with providing means of ...
Sang-Min Choi +4 more
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