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Location-based deep factorization machine model for service recommendation
The era of everything as a service led to an explosion of services with similar functionalities on the internet. Quickly obtaining a high-quality...
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Concept factorization with adaptive graph learning on Stiefel manifold
In machine learning and data mining, concept factorization (CF) has achieved great success for its powerful capability in data representation. To...
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Deep Neural Factorization Machine for Recommender System
Factorization Machine (FM) and its many deep learning variants are widely used in Recommender Systems. Despite their success in many applications,...
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Study on Implementation of Shor’s Factorization Algorithm on Quantum Computer
The fundamental security aspect of the classical crypto-system depends on integer factorization and discrete logarithm problems. The quantum...
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Progress in the prime factorization of large numbers
Large number factorization is not only the most critical entry point for Rivest–Shamir–Adleman (RSA) security analysis, but also the most direct...
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Attention-Based Feature Interaction Deep Factorization Machine for CTR Prediction
Click-Through Rate (CTR) prediction is widely used in many fields, such as web search, recommender systems, etc. Recently, the CTR prediction model...
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Explainable recommendations with nonnegative matrix factorization
Explicable recommendation system is proved to be conducive to improving the persuasiveness of the recommendation system, enabling users to trust the...
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An algorithm of non-negative matrix factorization with the nearest neighbor after per-treatments
Clustering is a hot topic in machine learning. For high dimension data, nonnegative matrix factorization (NMF) is a crucial technology in clustering....
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An Ensemble Model for Combining Deep Matrix Factorization and Image-Based Recommendation Systems
Recommender systems are widely used in many domains, especially in E-commerce. It can be used for attracting users by recommending appropriate...
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Trilateration-based indoor localization utilizing the matrix completion method by probabilistic matrix factorization and stochastic gradient
This research presents an enhanced indoor positioning system using Received Signal Strength Indicator (RSSI) values and probabilistic matrix...
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Collaborative QoS Prediction via Context-Aware Factorization Machine
With the prevalence of Web/Cloud/IoT services on the Internet, to select service with high quality is of paramount importance for building reliable...
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Initialization for non-negative matrix factorization: a comprehensive review
Non-negative matrix factorization (NMF) has become a popular method for representing meaningful data by extracting a non-negative basis feature from...
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Revisiting the performance optimization of QR factorization on Intel KNL and SKL multiprocessors
This study focused on the optimization of double-precision general matrix–matrix multiplication (DGEMM) routine to improve the QR factorization...
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Cauchy balanced nonnegative matrix factorization
Nonnegative Matrix Factorization (NMF) plays an important role in many data mining and machine learning tasks. Standard NMF uses the Frobenius norm...
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Deep manifold matrix factorization autoencoder using global connectivity for link prediction
Link prediction aims to predict missing links or eliminate spurious links by employing known complex network information. As an unsupervised linear...
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Incremental trust-aware matrix factorization for recommender systems: towards Green AI
Develo** machine learning models that outperform the existing ones has been defined as the main goal of researchers and industry experts. In this...
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Unsupervised Shape Enhancement and Factorization Machine Network for 3D Face Reconstruction
Existing unsupervised methods are often unable to capture accurate 3D shapes due to the ambiguity of shapes and albedo maps, limiting their...
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A semantic-consistency asymmetric matrix factorization hashing method for cross-modal retrieval
Hashing methods have recently received widespread attention due to their flexibility and effectiveness for cross-modal retrieval tasks. However,...
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Context-aware API recommendation using tensor factorization
An activity constantly engaged by most programmers in coding is to search for appropriate application programming interfaces (APIs). Contextual...
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Motor imagery classification using sparse nonnegative matrix factorization and convolutional neural networks
The motor movement performed by different body parts affects the synaptic potential at different brain cortices, which can be observed by the...
