{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T11:24:41Z","timestamp":1778757881433,"version":"3.51.4"},"reference-count":65,"publisher":"Tech Science Press","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["CMC"],"published-print":{"date-parts":[[2025]]},"DOI":"10.32604\/cmc.2024.057606","type":"journal-article","created":{"date-parts":[[2024,11,15]],"date-time":"2024-11-15T06:57:27Z","timestamp":1731653847000},"page":"751-775","source":"Crossref","is-referenced-by-count":1,"title":["Loss Aware Feature Attention Mechanism for Class and Feature Imbalance Issue"],"prefix":"10.32604","volume":"82","author":[{"given":"Yuewei","family":"Wu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruiling","family":"Fu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tongtong","family":"Xing","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fulian","family":"Yin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"17807","published-online":{"date-parts":[[2025]]},"reference":[{"key":"ref1","first-page":"4425","article-title":"A Survey on accuracy-oriented neural recommendation: From collaborative filtering to information-rich recommendation","volume":"35","author":"Wu","year":"May 2023","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"ref2","article-title":"Categorization of knowledge graph based recommendation methods and benchmark datasets from the perspectives of application scenarios: A comprehensive survey","volume":"206","author":"Khan","year":"Nov. 2022","journal-title":"Expert Syst. Appl."},{"key":"ref3","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1145\/3547333","article-title":"A Survey on the Fairness of Recommender Systems","volume":"41","author":"Wang","year":"Feb. 2023","journal-title":"ACM Trans. Inf. Syst."},{"key":"ref4","doi-asserted-by":"crossref","first-page":"2409","DOI":"10.1007\/s10462-021-10063-7","article-title":"A survey on personality-aware recommendation systems","volume":"55","author":"Dhelim","year":"Mar. 2022","journal-title":"Artif. Intell. Rev."},{"key":"ref5","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1007\/s12525-022-00537-z","article-title":"Artificial intelligence in e-commerce: A bibliometric study and literature review","volume":"32","author":"Bawack","year":"Mar. 2022","journal-title":"Electr. Mark."},{"key":"ref6","article-title":"Mapping the evolution of e-commerce research through co-word analysis: 2001\u20132020","volume":"55","author":"Bai","year":"Sep.\u2013Oct. 2022","journal-title":"Electr. Commer. R. A."},{"key":"ref7","series-title":"World Wide Web Conf. (WWW\u201919)","first-page":"3123","article-title":"Value-aware recommendation based on reinforcement profit maximization","author":"Pei","year":"May 13\u201317, 2019"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"360","DOI":"10.1287\/mksc.2022.1388","article-title":"Competing for recommendations: The strategic impact of personalized product recommendations in online marketplaces","volume":"42","author":"Zhou","year":"Mar.\u2013Apr. 2023","journal-title":"Market. Sci."},{"key":"ref9","doi-asserted-by":"crossref","DOI":"10.1016\/j.ipm.2021.102719","article-title":"Provider fairness across continents in collaborative recommender systems","volume":"59","author":"G\u00f3mez","year":"Jan. 2022","journal-title":"Inform. Process. Manag."},{"key":"ref10","doi-asserted-by":"crossref","first-page":"4165","DOI":"10.1007\/s10994-023-06353-6","article-title":"A survey on learning from imbalanced data streams: Taxonomy, challenges, empirical study, and reproducible experimental framework","volume":"113","author":"Aguiar","year":"Jun. 2024","journal-title":"Mach. Learn."},{"key":"ref11","doi-asserted-by":"crossref","first-page":"968","DOI":"10.1109\/TETCI.2023.3300740","article-title":"Self-adaptive deep asymmetric network for imbalanced recommendation","volume":"8","author":"Zhu","year":"Feb. 2024","journal-title":"IEEE Trans. Emerg. Top. Comput. Intell."},{"key":"ref12","first-page":"204","article-title":"An instance-based learning recommendation algorithm of imbalance handling methods","volume":"351","author":"Zhang","year":"Jun. 2019","journal-title":"Appl. Math. Comput."},{"key":"ref13","series-title":"Proc. 31st ACM Int. Conf. Inform. Knowl. Manag. (CIKM\u201922)","first-page":"2393","article-title":"A biased sampling method for imbalanced personalized ranking","author":"Yu","year":"Oct. 17\u201321, 2022"},{"key":"ref14","series-title":"Proc. 32nd ACM Int. Conf. Inform. Knowl. Manag. (CIKM\u201923)","first-page":"1077","article-title":"Meta-learning with adaptive weighted loss for imbalanced cold-start recommendation","author":"Kim","year":"Oct. 21\u201325, 2023"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"2741","DOI":"10.1109\/TNNLS.2019.2929575","article-title":"Siamese neural networks for user identity linkage through web browsing","volume":"31","author":"Qiao","year":"Aug. 2020","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"ref16","doi-asserted-by":"crossref","first-page":"3388","DOI":"10.1109\/TPAMI.2020.2981890","article-title":"Imbalance problems in object detection: A review","volume":"43","author":"Oksuz","year":"Oct. 2021","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref17","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1613\/jair.3831","article-title":"A feature subset selection algorithm automatic recommendation method","volume":"47","author":"Wang","year":"May 2013","journal-title":"J. Artif. Intell. Res."},{"key":"ref18","series-title":"Proc. 14th ACM Int. Conf. Inform. Knowl. Manag. (CIKM\u201905)","first-page":"446","article-title":"Feature-based recommendation system","author":"Han","year":"Oct. 31\u2013Nov. 05, 2015"},{"key":"ref19","article-title":"A multi-clustering algorithm to solve driving cycle prediction problems based on unbalanced data sets: A Chinese case study","volume":"20","author":"Wu","year":"Apr. 2020","journal-title":"Sensors"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"318","DOI":"10.1109\/TPAMI.2018.2858826","article-title":"Focal loss for dense object detection","volume":"42","author":"Lin","year":"Feb. 2020","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref21","series-title":"Comput. Vis.-ECCV 2018: 15th European Conf.","first-page":"369","article-title":"Deep regression tracking with shrinkage loss","author":"Lu","year":"Sep. 08\u201314, 2018"},{"key":"ref22","series-title":"Proc. 2022 IEEE\/CVF Conf. Comput. Vis. Pattern Recognit. (CVPR\u201922)","first-page":"6877","article-title":"The majority can help the minority: Context-rich minority oversampling for long-tailed classification","author":"Park","year":"Jun. 18\u201324, 2022"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"2409","DOI":"10.1007\/s10462-021-10044-w","article-title":"Handling class-imbalance with KNN (neighbourhood) under-sampling for software defect prediction","volume":"55","author":"Goyal","year":"Mar. 2022","journal-title":"Artif. Intell. Rev."},{"key":"ref24","article-title":"A systematic review on imbalanced data challenges in machine learning: Applications and solutions","volume":"52","author":"Kaur","year":"Aug. 2019","journal-title":"ACM Comput. Surv."},{"key":"ref25","article-title":"A review of methods for imbalanced multi-label classification","volume":"118","author":"Tarekegn","year":"Oct. 2021","journal-title":"Pattern Recogn."},{"key":"ref26","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/j.inffus.2019.12.001","article-title":"A survey on machine learning for data fusion","volume":"57","author":"Meng","year":"May 2022","journal-title":"Inform. Fusion."},{"key":"ref27","article-title":"Spatio-temporal feature fusion for dynamic taxi route recommendation via deep reinforcement learning","volume":"205","author":"Ji","year":"Oct. 2020","journal-title":"Knowl.-Based Syst."},{"key":"ref28","article-title":"Predicting implicit user preferences with multimodal feature fusion for similar user recommendation in social media","volume":"11","author":"Wang","year":"Jan. 2021","journal-title":"Appl. Sci."},{"key":"ref29","series-title":"Proc. 2020 Int. Conf. Internet of Things Intell. Appl. (ITIA\u201920)","first-page":"1","article-title":"FFDNN: Feature fusion depth neural network model of recommendation system","author":"Lin","year":"Nov. 27\u201329, 2020"},{"key":"ref30","unstructured":"N. Shazeer et al., \u201cOutrageously large neural networks: The sparsely-gated mixture-of-experts layer,\u201d 2017, arXiv:1701.06538."},{"key":"ref31","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1186\/s40537-019-0192-5","article-title":"Survey on deep learning with class imbalance","volume":"6","author":"Johnson","year":"Mar. 2019","journal-title":"J. Big Data"},{"key":"ref32","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2020.103735","article-title":"Addressing class imbalance in deep learning for small lesion detection on medical images","volume":"120","author":"Bria","year":"May 2020","journal-title":"Comput. Biol. Med."},{"key":"ref33","doi-asserted-by":"crossref","first-page":"224","DOI":"10.1016\/j.biosystemseng.2023.11.002","article-title":"Jujube quality grading using a generative adversarial network with an imbalanced data set","volume":"236","author":"Cang","year":"Dec. 2023","journal-title":"Biosyst. Eng."},{"key":"ref34","series-title":"Proc. 14th ACM Conf. Recommender Syst. (RecSys\u201920)","first-page":"756","article-title":"Characterizing and mitigating the impact of data imbalance for stakeholders in recommender systems","author":"G\u00f3mez","year":"Sep. 22\u201326, 2020"},{"key":"ref35","doi-asserted-by":"crossref","DOI":"10.1016\/j.jss.2023.111650","article-title":"MSTIL: Multi-cue shape-aware transferable imbalance learning for effective graphic API recommendation","volume":"200","author":"Qin","year":"Jun. 2023","journal-title":"J. Syst. Software."},{"key":"ref36","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1007\/s10660-019-09383-2","article-title":"Hybrid geometric sampling and AdaBoost based deep learning approach for data imbalance in e-commerce","volume":"20","author":"Dhote","year":"Jun. 2020","journal-title":"Electr. Commer. Res."},{"key":"ref37","first-page":"1","article-title":"The use of an internet of things data management system using data mining association algorithm in an e-commerce platform","volume":"35","author":"Wang","year":"May 2023","journal-title":"J. Organ. End User Com."},{"key":"ref38","article-title":"An improved and random synthetic minority oversampling technique for imbalanced data","volume":"248","author":"Wei","year":"Jul. 2022","journal-title":"Knowl.-Based Syst."},{"key":"ref39","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1016\/j.neucom.2021.01.033","article-title":"Relevant information undersampling to support imbalanced data classification","volume":"436","author":"Hoyos-Osorio","year":"May 2021","journal-title":"Neurocomputing"},{"key":"ref40","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1007\/s10115-022-01772-8","article-title":"Imbalanced data preprocessing techniques for machine learning: A systematic mapping study","volume":"65","author":"Werner de Vargas","year":"Jan. 2023","journal-title":"Knowl. Inf. Syst."},{"key":"ref41","doi-asserted-by":"crossref","first-page":"845","DOI":"10.1007\/s10462-022-10186-5","article-title":"Towards hybrid over-and under-sampling combination methods for class imbalanced datasets: An experimental study","volume":"56","author":"Lin","year":"Apr. 2022","journal-title":"Artif. Intell. Rev."},{"key":"ref42","series-title":"Image Anal. Recognit.: 14th Int. Conf. (ICIAR\u20192017)","first-page":"3","article-title":"A weight-selection strategy on training deep neural networks for imbalanced classification","author":"Sze-To","year":"Jul. 05\u201307, 2017"},{"key":"ref43","doi-asserted-by":"crossref","first-page":"2401","DOI":"10.1016\/j.neucom.2017.11.018","article-title":"A LSTM based framework for handling multiclass imbalance in DGA botnet detection","volume":"275","author":"Tran","year":"Jan. 2018","journal-title":"Neurocomputing"},{"key":"ref44","doi-asserted-by":"crossref","first-page":"387","DOI":"10.26599\/TST.2020.9010021","article-title":"DGA-based botnet detection toward imbalanced multiclass learning","volume":"26","author":"Chen","year":"Aug. 2021","journal-title":"Tsinghua Sci. Technol."},{"key":"ref45","series-title":"Proc. 25th ACM SIGKDD Int. Conf. Knowl. Discov. Data Min.","first-page":"3187","article-title":"Advances in cost-sensitive multiclass and multilabel classification","author":"Lin","year":"Aug. 04\u201308, 2019"},{"key":"ref46","series-title":"Proc. 17th ACM Conf. Recommender Syst. (RecSys\u201923)","first-page":"1015","article-title":"An industrial framework for personalized serendipitous recommendation in E-commerce","author":"Wang","year":"Sep. 18\u201322, 2023"},{"key":"ref47","article-title":"A hierarchical recommendation system for E-commerce using online user reviews","volume":"52","author":"Islek","year":"Mar.\u2013Apr. 2022","journal-title":"Electr. Commer. R. A"},{"key":"ref48","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2023.111359","article-title":"A recommendation model for e-commerce platforms oriented to explicit information compensation and hidden information mining","volume":"286","author":"Wei","year":"Feb. 2024","journal-title":"Knowl.-Based Syst."},{"key":"ref49","article-title":"Improving collaborative recommender system using hybrid clustering and optimized singular value decomposition","volume":"126","author":"Movafegh","year":"Nov. 2023","journal-title":"Eng. Appl. Artif. Intel."},{"key":"ref50","article-title":"A state-of-the-art survey on recommendation system and prospective extensions","volume":"178","author":"Patel","year":"Nov. 2020","journal-title":"Comput. Electron. Agr."},{"key":"ref51","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2021.115444","article-title":"Content-based group recommender systems: A general taxonomy and further improvements","volume":"184","author":"P\u00e9rez-Almaguer","year":"Dec. 2021","journal-title":"Expert Syst. Appl."},{"key":"ref52","doi-asserted-by":"crossref","first-page":"7085","DOI":"10.1007\/s00521-024-09447-x","article-title":"Online content-based sequential recommendation considering multimodal contrastive representation and dynamic preferences","volume":"36","author":"Lu","year":"Feb. 2024","journal-title":"Neural Comput. Appl."},{"key":"ref53","first-page":"91","article-title":"Advances in collaborative filtering","author":"Koren","year":"Nov. 2021","journal-title":"Recommender Syst. Handbook"},{"key":"ref54","doi-asserted-by":"crossref","first-page":"1523","DOI":"10.1007\/s10639-021-10643-8","article-title":"Automatic recommendation system based on hybrid filtering algorithm","volume":"27","author":"Sharma","year":"Jul. 2021","journal-title":"Educ. Inf. Technol."},{"key":"ref55","article-title":"GHRS: Graph-based hybrid recommendation system with application to movie recommendation","volume":"200","author":"Darban","year":"Aug. 2022","journal-title":"Expert Syst. Appl."},{"key":"ref56","doi-asserted-by":"crossref","first-page":"2709","DOI":"10.1007\/s10462-019-09744-1","article-title":"Recommendation system based on deep learning methods: A systematic review and new directions","volume":"53","author":"Da\u2019u","year":"Apr. 2020","journal-title":"Artif. Intell. Rev."},{"key":"ref57","article-title":"Human activity recognition using tools of convolutional neural networks: A state of the art review, data sets, challenges, and future prospects","volume":"149","author":"Islam","year":"Oct. 2022","journal-title":"Comput. Biol. Med."},{"key":"ref58","doi-asserted-by":"crossref","first-page":"388","DOI":"10.1016\/j.ijforecast.2020.06.008","article-title":"Recurrent neural networks for time series forecasting: Current status and future directions","volume":"37","author":"Hewamalage","year":"Jan.\u2013Mar. 2021","journal-title":"Int. J. Forecasting."},{"key":"ref59","first-page":"1","article-title":"Visualization for recommendation explainability: A survey and new perspectives","volume":"14","author":"Chatti","year":"Aug. 2024","journal-title":"ACM T. Interact. Intel."},{"key":"ref60","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1177\/10949968231200221","article-title":"When post hoc explanation knocks: Consumer responses to explainable AI recommendations","volume":"59","author":"Chen","year":"Dec. 2023","journal-title":"J. Interact. Mark."},{"key":"ref61","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3561048","article-title":"Explainable AI (XAI): Core ideas, techniques, and solutions","volume":"55","author":"Dwivedi","year":"Jan. 2023","journal-title":"ACM Comput. Surv."},{"key":"ref62","series-title":"Proc. 11th USENIX Conf. Oper. Syst. Design Implementation","first-page":"583","article-title":"Scaling distributed machine learning with the parameter server","author":"Li","year":"Oct. 06\u201308, 2014"},{"key":"ref63","series-title":"Proc. 22nd ACM SIGKDD Int. Conf. Knowl. Discov. Data Min.","first-page":"785","article-title":"XGBoost: A scalable tree boosting system","author":"Chen","year":"Aug. 13\u201317, 2016"},{"key":"ref64","first-page":"1189","article-title":"Greedy function approximation: A gradient boosting machine","volume":"29","author":"Friedman","year":"Oct. 2001","journal-title":"Ann. Stat."},{"key":"ref65","series-title":"Proc. ADKDD\u201917","first-page":"1","article-title":"Deep & cross network for ad click predictions","author":"Wang","year":"Aug. 14, 2017"}],"container-title":["Computers, Materials & Continua"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/file.techscience.com\/files\/cmc\/2025\/TSP_CMC-82-1\/TSP_CMC_57606\/TSP_CMC_57606.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,7]],"date-time":"2025-03-07T07:03:26Z","timestamp":1741331006000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/cmc\/v82n1\/59231"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":65,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025]]},"published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.32604\/cmc.2024.057606","relation":{},"ISSN":["1546-2226"],"issn-type":[{"value":"1546-2226","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}