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Article
CFF: combining interactive features and user interest features for click-through rate prediction
Click-through rate is a central issue in ad recommendation and has recently received extensive research attention in academia and industry. Research shows that the accuracy of prediction results in CTR predict...
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Article
Role of folic acid in regulating gut microbiota and short-chain fatty acids based on an in vitro fermentation model
Folic acid deficiency is common worldwide and is linked to an imbalance in gut microbiota. However, based on model animals used to study the utilization of folic acid by gut microbes, there are challenges of r...
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Article
Open AccessUsing a forced aligner for prosody research
Forced alignment is a speech technique that can automatically align audio files with transcripts. With the help of forced alignment tools, annotating audio files and creating annotated speech databases have be...
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Article
NIX Mediates Mitophagy in Spinal Cord Injury in Rats by Interacting with LC3
Excessive mitophagy plays a role in neuronal death in spinal cord injury (SCI), its molecular regulation remains largely unknown. The present study aims to determine the role of NIX, a member of a unique subfa...
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Chapter
Review on Health Impacts from Domestic Coal Burning: Emphasis on Endemic Fluorosis in Guizhou Province, Southwest China
Endemic fluorosis in Guizhou Province, Southwest China was firstly reported by Lyth in 1946 and was extensively concerned since the early 1980s. Initially, the pathological cause of endemic fluorosis in Guizho...
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Article
Semi-supervised modality-dependent cross-media retrieval
In this paper, we propose a modality-dependent cross-media retrieval approach under semi-supervised conditions. The approach utilizes both labeled samples and unlabeled ones to obtain two couples of projection...
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Chapter and Conference Paper
Cross-Media Semantic Matching via Sparse Neural Network Pre-trained by Deep Restricted Boltzmann Machines
Cross-media retrieval arouses considerable attentions and becomes a more and more worthwhile research direction in the domain of information retrieval. Different from many related works which perform retrieval...
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Chapter and Conference Paper
DLPDS: Learning Users’ Information Sharing Behaviors for Privacy Default Setting in Recommender System
The proliferation of Internet of things has allowed users to provide preference feedback and maintain profiles in multiple websites, which could indicate tastes covering several kinds of domains but focus on s...
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Chapter and Conference Paper
PointBurst: Towards a Trust-Relationship Framework for Improved Social Recommendations
With the rapid growth of information on the World Wide Web, social recommendations have appeared as one of the most important roles attracting growing attentions from researchers. Social recommendations enable...