A recommender algorithm based on SVD ++model under trust network by Peiwu CHEN, Fangxing SHU

“…Recommender algorithms are usually modeled based on user behavior data.However, the sparseness of explicit behavior data may cause the cold start problem of recommender algorithms.In order to solve the impact of data sparseness and cold-start problems on the effect of recommender algorithms, implicit trust relationship based on user similarity was introduced based on the existing revealed trust relationship, and a new recommender algorithm was designed through the SVD++ implicit semantic model.In order to improve the effect of the algorithm, the neighborhood model was integrated further, and the algorithm score prediction formula and loss function were derived.In the Epinions open source data set, RMSE and MAE were used as test indicators, and comparative experiments were conducted on the entire user set and the cold start user set.The experimental results show that the recommender algorithm can optimize the cold start problem of the original recommender algorithm to a certain extent, and achieve a better rating prediction accuracy.…”
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Quality characteristics of probiotic yoghurt enriched with honey and by-products left after the production of hemp oil by cold pressing the seeds of Cannabis sativa L. by Gjore Nakov, Biljana Trajkovska, Zlatin Zlatev, Marko Jukić, Jasmina Lukinac

“…Hemp press cake is a by-product that remains after the cold pressing of industrial hemp (Cannabis sativa L.). …”
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Recommendation Algorithm of Web-Based Learning Resources considering Timeliness and Popularity by Xiaolu Han

“…The TRCP algorithm generates the learner evaluation matrix for recommended projects by classifying learning resources. …”
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Genetic Algorithm and Its Performance Analysis for Scheduling a Single Crane by Xie Xie, Yongyue Zheng, Yanping Li

“…This paper studies a single crane scheduling problem arising in the cold-rolling material warehouse in an iron and steel enterprise. …”
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How to identify a patient with autoinflammatory syndrome: Clinical and diagnostic algorithms by Mikhail Mikhailovich Kostik, L S Snegireva, M F Dubko, V V Masalova, T S Likhacheva, O V Kalashnikova, V G Chasnyk

“…A clinical diagnostic algorithm is presented, which can be used to detect patients with AIS and to determine indications to and the time of molecular genetic typing, and to choose priority genes.…”
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Frost Resistance Prediction of Concrete Based on Dynamic Multi-Stage Optimisation Algorithm by Xuwei Dong, Jiashuo Yuan, Jinpeng Dai

“…Concrete in cold areas is often subjected to a freeze–thaw cycle period, and a harsh environment will seriously damage the structure of concrete and shorten its life. …”
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C-mixture and multi-constraints based genetic algorithm for collaborative data publishing by Yogesh R. Kulkarni, T. Senthil Murugan

“…From the experimentation, we proved that the proposed algorithm maintained the privacy and utility as compared with the existing algorithm. …”
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A Two-Stage Robust Optimization Strategy for Long-Term Energy Storage and Cascaded Utilization of Cold and Heat Energy in Peer-to-Peer Electricity Energy Trading by Yun Chen, Yunhao Zhao, Xinghao Zhang, Ying Wang, Rongyao Mi, Junxiao Song, Zhiguo Hao, Chuanbo Xu

“…The Nested Column and Constraint Generation (NC&CG) algorithm enhances privacy and solution precision. …”
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Potential Metabolic Markers in the Tongue Coating of Chronic Gastritis Patients for Distinguishing Between Cold Dampness Pattern and Damp Heat Pattern in Traditional Chinese Medici... by Yuan S, Zhang R, Zhu Z, Zhou X, Zhang H, Li X, Hao Y

“…All pathways mapped by human differential metabolites were retrieved through the KEGG (Kyoto Encyclopedia of Genes and Genomes) Pathway database, and key pathways were screened out by combining enrichment and topological analysis. The spearman algorithm was used to calculate the correlation coefficient and P value matrix. …”
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Collaborative filtering recommendation algorithm based on fine-grained mining and neighborhood awareness attention by Jin Jun, Yingyu Li

“…Abstract This study introduces a collaborative filtering recommendation algorithm named CFR-FD, designed to tackle common challenges in traditional recommendation systems, particularly the cold start problem and data sparsity issue. …”
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A two-stage recommendation optimization algorithm based on item popularity and user features by Jun Wang, Rongjie Hu

“…The two-stage recommendation optimization procedure was combined with a collaborative filtering algorithm to improve recommendation precision. CPCF-TSP fully considers user features in building a hybrid recommendation model and solves the problem of user cold-start. …”
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Optimization of energy tunnel heat extraction section design based on simulated annealing algorithm by LIU Jiaxin, HAN Chanjuan, CAI Guoqing

“…To address this problem，an optimization framework is developed to guide the heat extraction section design of energy tunnel in the severe cold region based on numerical simulation and simulated annealing algorithm. …”
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Educational resources recommendation algorithm based on GMF-MLP-NeuMF prediction model by Rui Wang, Qiusheng Cui, Yezhi Xiao, Jinfeng Du, Ruicheng Yue

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A Machine Learning Approach to Differentiate Cold and Hot Syndrome in Viral Pneumonia Integrating Traditional Chinese Medicine and Modern Medicine: Machine Learning Model Developme... by Xiaojie Jin, Yanru Wang, Jiarui Wang, Qian Gao, Yuhan Huang, Lingyu Shao, Jiali Zhao, Jintian Li, Ling Li, Zhiming Zhang, Shuyan Li, Yongqi Liu

“…MethodsThe application of 8 machine learning algorithms (gradient boosting machine [GBM], logistic regression, random forest, extreme gradient boosting [XGB], light gradient boosting machine [LGB], ridge regression, least absolute shrinkage and selection operator, and support vector machine) generated and validated (both internally and externally) a model for differentiating cold and hot syndromes in viral pneumonia, based on clinical data from 1484 patient samples collected at 2 medical centers between 2021 and 2022. …”
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Ga-based MPC for satellite’s attitude and orbit control by Prasitthichai Naronglerdrit, Manukid Parnichkun

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Artificial intelligence-based Raynaud’s quantification index (ARTIX): an objective mobile-based tool for patient-centered assessment of Raynaud’s phenomenon by Marco Di Battista, Seda Colak, Anna Howard, Francesca Donadoni, Chris Owen-Smith, Andrea Rindone, Stefano Di Donato, Collette Hartley, Lesley-Anne Bissell, Francesco Del Galdo

“…Abstract Background We aimed to develop an artificial intelligence algorithm able to assess Raynaud’s phenomenon (RP) from mobile phone photography, ensuring as a patient-centered, image-based method for RP quantification. …”
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Comprehensive Comparison and Validation of Forest Disturbance Monitoring Algorithms Based on Landsat Time Series in China by Yunjian Liang, Rong Shang, Jing M. Chen, Xudong Lin, Peng Li, Ziyi Yang, Lingyun Fan, Shengwei Xu, Yingzheng Lin, Yao Chen

“…The algorithms included three annual-scale (VCT, LandTrendr, mLandTrendr) and three daily-scale (BFAST, CCDC, COLD) algorithms. …”
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Association Analysis of Benzo[<i>a</i>]pyrene Concentration Using an Association Rule Algorithm by Minyi Wang, Takayuki Kameda

“…Herein, the factors influencing B(a)P concentration were elucidated by analyzing the monthly environmental data for Kyoto, Japan, from 2001 to 2021 using an improved association rule algorithm. Results revealed that B(a)P concentrations were 1.3–3 times higher in cold seasons than in warm seasons and SPM concentrations were lower in cold seasons. …”
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Impact of Personalized Recommendation on Today’s News Communication through Algorithmic Mechanism in the New Media Era by Xin Liu

“…In the era of smart media, algorithmic distribution has impacted the original distribution mode and brought challenges to news gate-keeping. …”
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Solving a low-carbon routing problem for perishable distribution food by Martinson Yeboah Appiah, Sun Huaping

“…The model is solved by using a hybrid genetic algorithm with heuristic rules, after which the algorithm’s efficiency is tested with a globally recognised Proudhon data set. …”
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