{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T08:10:38Z","timestamp":1777882238567,"version":"3.51.4"},"reference-count":44,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100004735","name":"Natural Science Foundation of Hunan Province","doi-asserted-by":"publisher","award":["2022JJ30262"],"award-info":[{"award-number":["2022JJ30262"]}],"id":[{"id":"10.13039\/501100004735","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Expert Systems with Applications"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.eswa.2026.131920","type":"journal-article","created":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T01:38:25Z","timestamp":1772847505000},"page":"131920","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["MPGCF: Multi-objective and popularity-smoothing graph collaborative filtering for long-tail web API recommendation"],"prefix":"10.1016","volume":"318","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1275-5921","authenticated-orcid":false,"given":"Guosheng","family":"Kang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0006-2950-8774","authenticated-orcid":false,"given":"Yan","family":"Li","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0009-0195-3050","authenticated-orcid":false,"given":"Xiaokang","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Xiaocong","family":"Xiao","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0722-152X","authenticated-orcid":false,"given":"Jianxun","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Yu","family":"Xu","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.eswa.2026.131920_bib0001","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1109\/TSC.2017.2681666","article-title":"DLTSR: A deep learning framework for recommendations of long-tail web services","volume":"13","author":"Bai","year":"2017","journal-title":"IEEE Transactions on Services Computing"},{"key":"10.1016\/j.eswa.2026.131920_bib0002","unstructured":"Cai, X., Huang, C., Xia, L., & Ren, X. (2023). LightGCL: Simple yet effective graph contrastive learning for recommendation. arXiv preprint arXiv: 2302.08191."},{"key":"10.1016\/j.eswa.2026.131920_bib0003","series-title":"International conference on collaborate computing: Networking, applications and worksharing","first-page":"3","article-title":"Web API recommendation for Mashup development based on hierarchical dirichlet process and factorization machines","author":"Cao","year":"2017"},{"issue":"1","key":"10.1016\/j.eswa.2026.131920_bib0004","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1109\/TSC.2017.2686390","article-title":"Integrated content and network-based service clustering and web APIs recommendation for Mashup development","volume":"13","author":"Cao","year":"2017","journal-title":"IEEE Transactions on Services Computing"},{"key":"10.1016\/j.eswa.2026.131920_bib0005","series-title":"IEEE international conference on web services","first-page":"258","article-title":"A general complementary API recommendation framework based on learning model","author":"Chen","year":"2024"},{"key":"10.1016\/j.eswa.2026.131920_bib0006","unstructured":"van den Oord, A., Li, Y., & Vinyals, O. (2018). Representation learning with contrastive predictive coding. arXiv preprint arXiv: 1807.03748."},{"issue":"1","key":"10.1016\/j.eswa.2026.131920_bib0007","first-page":"58","article-title":"CASR-TSE: Context-aware web services recommendation for modeling weighted temporal-spatial effectiveness","volume":"14","author":"Fan","year":"2017","journal-title":"IEEE Transactions on Services Computing"},{"key":"10.1016\/j.eswa.2026.131920_bib0008","series-title":"Ieee international conference on services computing","first-page":"1","article-title":"Regularizing matrix factorization with implicit user preference embeddings for web API recommendation","author":"Fletcher","year":"2019"},{"key":"10.1016\/j.eswa.2026.131920_bib0009","series-title":"International ACM SIGIR conference on research and development in information retrieval","first-page":"639","article-title":"LightGCN: Simplifying and powering graph convolution network for recommendation","author":"He","year":"2020"},{"key":"10.1016\/j.eswa.2026.131920_bib0010","series-title":"Proceedings of the eighteenth ACM international conference on web search and data mining","first-page":"117","article-title":"A contrastive framework with user, item and review alignment for recommendation","author":"Hoang","year":"2025"},{"issue":"6","key":"10.1016\/j.eswa.2026.131920_bib0011","first-page":"3953","article-title":"Web API recommendation based on self-attentional neural factorization machines with domain interactions","volume":"10","author":"Kang","year":"2023","journal-title":"IEEE Transactions on Network Science and Engineering"},{"issue":"6","key":"10.1016\/j.eswa.2026.131920_bib0012","doi-asserted-by":"crossref","first-page":"5977","DOI":"10.1109\/TNSM.2024.3422233","article-title":"Web API recommendation via leveraging content and network semantics","volume":"21","author":"Kang","year":"2024","journal-title":"IEEE Transactions on Network and Service Management"},{"issue":"4","key":"10.1016\/j.eswa.2026.131920_bib0013","doi-asserted-by":"crossref","first-page":"4183","DOI":"10.1109\/TNSM.2021.3125028","article-title":"Neural and attentional factorization machine-based web API recommendation for Mashup development","volume":"18","author":"Kang","year":"2021","journal-title":"IEEE Transactions on Network and Service Management"},{"key":"10.1016\/j.eswa.2026.131920_bib0014","unstructured":"Koch, R. (2011). The 80\/20 principle: The secret of achieving more with less: Updated 20th anniversary edition of the productivity and business classic. Hachette UK."},{"issue":"1","key":"10.1016\/j.eswa.2026.131920_bib0015","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1080\/09540091.2021.1974819","article-title":"API recommendation for Mashup creation based on neural graph collaborative filtering","volume":"34","author":"Lian","year":"2022","journal-title":"Connection Science"},{"issue":"1","key":"10.1016\/j.eswa.2026.131920_bib0016","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1109\/TEM.2019.2961376","article-title":"A deep neural network with multiplex interactions for cold-start service recommendation","volume":"68","author":"Ma","year":"2020","journal-title":"IEEE Transactions on Engineering Management"},{"key":"10.1016\/j.eswa.2026.131920_bib0017","series-title":"ACM SIGKDD international conference on knowledge discovery & data mining","first-page":"3405","article-title":"A dual heterogeneous graph attention network to improve long-tail performance for shop search in e-commerce","author":"Niu","year":"2020"},{"issue":"3","key":"10.1016\/j.eswa.2026.131920_bib0018","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1504\/IJIPT.2019.10022782","article-title":"Recommender resources based on acquiring user\u2019s requirement and exploring user\u2019s preference with Word2Vec model in web service","volume":"12","author":"Qin","year":"2019","journal-title":"International Journal of Internet Protocol Technology"},{"key":"10.1016\/j.eswa.2026.131920_bib0019","doi-asserted-by":"crossref","unstructured":"Reimers, N., & Gurevych, I. (2019). Sentence-BERT: Sentence embeddings using siamese BERT-networks. arXiv preprint arXiv: 1908.10084.","DOI":"10.18653\/v1\/D19-1410"},{"issue":"1","key":"10.1016\/j.eswa.2026.131920_bib0020","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1109\/TSC.2019.2950291","article-title":"A granular SVM-based method for top-N web services recommendation","volume":"15","author":"Ren","year":"2019","journal-title":"IEEE Transactions on Services Computing"},{"key":"10.1016\/j.eswa.2026.131920_bib0021","unstructured":"Rendle, S., Freudenthaler, C., Gantner, Z., & Schmidt-Thieme, L. (2012). BPR: Bayesian personalized ranking from implicit feedback. arXiv preprint arXiv: 1205.2618."},{"key":"10.1016\/j.eswa.2026.131920_bib0022","series-title":"The Matthew effect: How advantage begets further advantage","author":"Rigney","year":"2010"},{"issue":"5","key":"10.1016\/j.eswa.2026.131920_bib0023","doi-asserted-by":"crossref","first-page":"1077","DOI":"10.1109\/TPDS.2018.2877363","article-title":"Functional and contextual attention-based LSTM for service recommendation in Mashup creation","volume":"30","author":"Shi","year":"2018","journal-title":"IEEE Transactions on Parallel and Distributed Systems"},{"key":"10.1016\/j.eswa.2026.131920_bib0024","series-title":"International ACM SIGIR conference on research and development in information retrieval","first-page":"165","article-title":"Neural graph collaborative filtering","author":"Wang","year":"2019"},{"key":"10.1016\/j.eswa.2026.131920_bib0025","unstructured":"Wang, Y., Xin, X., Ding, Y., Li, Y., & Wang, D. (2021). ICPE: An item cluster-wise pareto-efficient framework for recommendation debiasing. arXiv preprint arXiv: 2109.12887."},{"issue":"2023","key":"10.1016\/j.eswa.2026.131920_bib0026","doi-asserted-by":"crossref","first-page":"107269","DOI":"10.1016\/j.infsof.2023.107269","article-title":"PAREI: A progressive approach for web API recommendation by combining explicit and implicit information","volume":"162","author":"Wang","year":"2023","journal-title":"Information and Software Technology"},{"issue":"3","key":"10.1016\/j.eswa.2026.131920_bib0027","first-page":"2229","article-title":"Time-aware service recommendation with social-powered graph hierarchical attention network","volume":"16","author":"Wei","year":"2022","journal-title":"IEEE Transactions on Services Computing"},{"key":"10.1016\/j.eswa.2026.131920_bib0028","series-title":"27th ACM SIGKDD conference on knowledge discovery & data mining","first-page":"1791","article-title":"Model-agnostic counterfactual reasoning for eliminating popularity bias in recommender system","author":"Wei","year":"2021"},{"issue":"6","key":"10.1016\/j.eswa.2026.131920_bib0029","doi-asserted-by":"crossref","first-page":"3330","DOI":"10.1109\/TSC.2021.3098756","article-title":"Mashup-oriented web API recommendation via multi-model fusion and multi-task learning","volume":"15","author":"Wu","year":"2021","journal-title":"IEEE Transactions on Services Computing"},{"key":"10.1016\/j.eswa.2026.131920_bib0030","series-title":"International ACM SIGIR conference on research and development in information retrieval","first-page":"726","article-title":"Self-supervised graph learning for recommendation","author":"Wu","year":"2021"},{"key":"10.1016\/j.eswa.2026.131920_bib0031","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1016\/j.eswa.2018.05.039","article-title":"Deep hybrid collaborative filtering for web service recommendation","volume":"110","author":"Xiong","year":"2018","journal-title":"Expert Systems with Applications"},{"issue":"2","key":"10.1016\/j.eswa.2026.131920_bib0032","doi-asserted-by":"crossref","first-page":"502","DOI":"10.1109\/TSC.2018.2803171","article-title":"Mashup recommendation by regularizing matrix factorization with API co-invocations","volume":"14","author":"Yao","year":"2018","journal-title":"IEEE Transactions on Services Computing"},{"issue":"2025","key":"10.1016\/j.eswa.2026.131920_bib0033","doi-asserted-by":"crossref","first-page":"591","DOI":"10.1007\/s41019-025-00308-8","article-title":"On-device recommender systems: A comprehensive survey","volume":"10","author":"Yin","year":"2025","journal-title":"Data Science and Engineering"},{"issue":"2025","key":"10.1016\/j.eswa.2026.131920_bib0034","doi-asserted-by":"crossref","first-page":"129539","DOI":"10.1016\/j.neucom.2025.129539","article-title":"TPGRec: Text-enhanced and popularity-smoothing graph collaborative filtering for long-tail item recommendation","volume":"626","author":"Yu","year":"2025","journal-title":"Neurocomputing"},{"issue":"2024","key":"10.1016\/j.eswa.2026.131920_bib0035","doi-asserted-by":"crossref","first-page":"121957","DOI":"10.1016\/j.eswa.2023.121957","article-title":"Long tail service recommendation based on cross-view and contrastive learning","volume":"238","author":"Yu","year":"2024","journal-title":"Expert Systems with Applications"},{"issue":"4","key":"10.1016\/j.eswa.2026.131920_bib0036","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11432-024-4272-y","article-title":"Robust federated contrastive recommender system against targeted model poisoning attack","volume":"68","author":"Yuan","year":"2025","journal-title":"Science China Information Sciences"},{"issue":"5","key":"10.1016\/j.eswa.2026.131920_bib0037","doi-asserted-by":"crossref","first-page":"2696","DOI":"10.1109\/TBDATA.2025.3552341","article-title":"Multi-objective graph contrastive learning for recommendation","volume":"11","author":"Zhang","year":"2025","journal-title":"IEEE Transactions on Big Data"},{"key":"10.1016\/j.eswa.2026.131920_bib0038","series-title":"Ieee international conference on parallel & distributed processing with applications","first-page":"509","article-title":"Web service recommendation via combining Doc2Vec-based functionality clustering and deepFM-based score prediction","author":"Zhang","year":"2018"},{"issue":"5","key":"10.1016\/j.eswa.2026.131920_bib0039","doi-asserted-by":"crossref","first-page":"2124","DOI":"10.1109\/TSC.2024.3349853","article-title":"Collaborative tag-aware graph neural network for long-tail service recommendation","volume":"17","author":"Zhang","year":"2024","journal-title":"IEEE Transactions on Services Computing"},{"key":"10.1016\/j.eswa.2026.131920_bib0040","series-title":"Proceedings of the web conference","first-page":"401","article-title":"DGCN: Diversified recommendation with graph convolutional networks","author":"Zheng","year":"2021"},{"issue":"4","key":"10.1016\/j.eswa.2026.131920_bib0041","doi-asserted-by":"crossref","first-page":"2455","DOI":"10.1109\/TSC.2020.2995571","article-title":"Web service QoS prediction via collaborative filtering: A survey","volume":"15","author":"Zheng","year":"2020","journal-title":"IEEE Transactions on Services Computing"},{"issue":"4","key":"10.1016\/j.eswa.2026.131920_bib0042","doi-asserted-by":"crossref","first-page":"1847","DOI":"10.1109\/TSC.2023.3329110","article-title":"TRCF: Temporal reinforced collaborative filtering for time-aware QoS prediction","volume":"17","author":"Zou","year":"2023","journal-title":"IEEE Transactions on Services Computing"},{"issue":"3","key":"10.1016\/j.eswa.2026.131920_bib0043","first-page":"2030","article-title":"NCRL: Neighborhood-based collaborative residual learning for adaptive QoS prediction","volume":"16","author":"Zou","year":"2022","journal-title":"IEEE Transactions on Services Computing"},{"issue":"2","key":"10.1016\/j.eswa.2026.131920_bib0044","doi-asserted-by":"crossref","first-page":"922","DOI":"10.1109\/TNSM.2022.3151764","article-title":"DeepLTSC: Long-tail service classification via integrating category attentive deep neural network and feature augmentation","volume":"19","author":"Zou","year":"2022","journal-title":"IEEE Transactions on Network and Service Management"}],"container-title":["Expert Systems with Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S095741742600833X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S095741742600833X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T01:06:25Z","timestamp":1777597585000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S095741742600833X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":44,"alternative-id":["S095741742600833X"],"URL":"https:\/\/doi.org\/10.1016\/j.eswa.2026.131920","relation":{},"ISSN":["0957-4174"],"issn-type":[{"value":"0957-4174","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"MPGCF: Multi-objective and popularity-smoothing graph collaborative filtering for long-tail web API recommendation","name":"articletitle","label":"Article Title"},{"value":"Expert Systems with Applications","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.eswa.2026.131920","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"131920"}}