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Enhancing the accuracy of collaborative filtering based recommender system with novel similarity measure
One of the most effective and extensively used recommendation technique is collaborative filtering. Based on related users or items, collaborative...
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“Are they like me?”: Assessing college math students’ academic and personal similarity perceptions of female peer role models
Past laboratory work has shown that exposure to similar peers who represent success in STEM (i.e., math-talented female peer role models) can bolster...
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The Effect of Syntactic Similarity on Intra-Sentential Switching Costs: Evidence from Chinese-English Bilinguals
In order to better understand the role of syntactic similarity in a code-switched sentence, the current study explored the effect of similar and...
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MRI reconstruction with enhanced self-similarity using graph convolutional network
BackgroundRecent Convolutional Neural Networks (CNNs) perform low-error reconstruction in fast Magnetic Resonance Imaging (MRI). Most of them...
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Multi-criteria decision making based on vector similarity measures of picture type-2 hesitant fuzzy sets
In this paper, we propose a picture type-2 hesitant fuzzy sets (PT2HFSs) and discuss various properties of this new concept like intersection and...
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SimBPG: A Comprehensive Similarity Evaluation Metric for Business Process Graphs
Measuring the similarity between two business process models holds significant importance across various applications. At present, there are many... -
Improved Sentence Similarity Measurement in the Medical Field Based on Syntactico-Semantic Knowledge
Computing semantic sentence similarity plays a vital role in a range of text mining applications. In the clinical domain, Semantic Textual Similarity... -
Measurement model: a generic model for size measurement of aquatic products using instance segmentation
In aquaculture, aquatic product size is an important indicator of the condition of aquatic products, but the current aquatic product size measurement...
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Bayesian modeling of the Mnemonic Similarity Task using multinomial processing trees
The Mnemonic Similarity Task (MST, Stark et al. in Neuropsychologia 51:2442–2449.
https://doi.org/10.1016/j.neuropsychologia.2012.12.014 ... -
A novel similarity algorithm for triangular cloud models based on exponential closeness and cloud drop variance
Cloud model similarity algorithm is an important part of cloud modelling theory. Most of the existing cloud model similarity algorithms suffer from...
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Improved Test Procedure and Sample Size Calculation for Assessing Similarity in Two-Group Comparative Studies with Heterogeneous Variances
The two one-sided tests (TOST) method for mean equivalence or average equivalence has been extended to assessing similarity or switchability for...
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A visual uncertainty analytics approach for weather forecast similarity measurement based on fuzzy clustering
AbstractForecast calibration methods based on historical similar atmospheric state are effective means weather forecast accuracy. Conventional...
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Bidirectional approximate reasoning and pattern analysis based on a novel Fermatean fuzzy similarity metric
In various real-world scenarios, Fermatean fuzzy sets are commonly used to address fuzzy and uncertain challenges. The degree of similarity between...
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Overlap** community detection algorithm based on similarity of node relationship
Community discovery is a vital link in the research of social networks aiming at the shortcomings of the current local extension-based community...
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ProxMetrics: modular proxemic similarity toolkit to generate domain-adaptable indicators from social media
In this paper, we introduce ProxMetrics , a novel toolkit designed to evaluate similarity among social media entities through proxemic dimensions....
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Multi-knowledge resources-based semantic similarity models with application for movie recommender system
In recent years, researchers have proposed several feature-based methods to measure semantic similarity using knowledge resources like Wikipedia and...
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Boosting the Item-Based Collaborative Filtering Model with Novel Similarity Measures
Collaborative filtering (CF), one of the most widely employed methodologies for recommender systems, has drawn undeniable attention due to its...
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Detecting unregistered users through semi-supervised anomaly detection with similarity datasets
Recent research has focused on exploring systems that incorporate anomaly detection models to automate the addition of users in user recognition...
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A Novel Similarity Approach for Describing the Bulk Shear in the Atmospheric Surface Layer
The Monin–Obukhov Similarity Theory (MOST) is a cornerstone of boundary layer meteorology and the basis of most parameterizations of the atmospheric...
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Impact of value similarity on social trust in medical students: a cross-sectional web survey
BackgroundSocial trust in medical students is trust in the cluster of medical students and not individual medical students. Social trust in medical...