{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T14:32:23Z","timestamp":1777041143632,"version":"3.51.4"},"reference-count":41,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T00:00:00Z","timestamp":1776988800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T00:00:00Z","timestamp":1776988800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["No. 52231014"],"award-info":[{"award-number":["No. 52231014"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Knowl Inf Syst"],"published-print":{"date-parts":[[2026,12]]},"DOI":"10.1007\/s10115-026-02772-8","type":"journal-article","created":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T12:19:12Z","timestamp":1777033152000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Web APIs recommendation based on multi-task learning and fairness-aware compensation"],"prefix":"10.1007","volume":"68","author":[{"given":"Zhiying","family":"Cao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Miao","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiuguo","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dezhen","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fan","family":"Qiao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,4,24]]},"reference":[{"issue":"18","key":"2772_CR1","doi-asserted-by":"publisher","first-page":"26111","DOI":"10.1007\/s11227-024-06445-7","volume":"80","author":"Z Chen","year":"2024","unstructured":"Chen Z, Chen W, Liu X et al (2024) Cceacf: content and complementarity enhanced attentional collaborative filtering for cloud api recommendation. J Supercomput 80(18):26111\u201326139. https:\/\/doi.org\/10.1007\/s11227-024-06445-7","journal-title":"J Supercomput"},{"issue":"6","key":"2772_CR2","doi-asserted-by":"publisher","first-page":"3620","DOI":"10.1109\/TSC.2021.3103481","volume":"15","author":"M Shi","year":"2022","unstructured":"Shi M, Zhuang Y, Tang Y et al (2022) Web service network embedding based on link prediction and convolutional learning. IEEE Trans Serv Comput 15(6):3620\u20133633. https:\/\/doi.org\/10.1109\/TSC.2021.3103481","journal-title":"IEEE Trans Serv Comput"},{"key":"2772_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.jss.2020.110540","volume":"163","author":"H Cheng","year":"2020","unstructured":"Cheng H, Zhong M, Wang J (2020) Diversified keyword search based web service composition. J Syst Softw 163:110540. https:\/\/doi.org\/10.1016\/j.jss.2020.110540","journal-title":"J Syst Softw"},{"key":"2772_CR4","doi-asserted-by":"publisher","unstructured":"Hu B, Xie X, Shen J, et al (2024) High-order-modal knowledge graph powered api recommendation for mashup development. In: 2024 IEEE International Conference on Software Services Engineering (SSE), pp 204\u2013213, https:\/\/doi.org\/10.1109\/SSE62657.2024.00038","DOI":"10.1109\/SSE62657.2024.00038"},{"issue":"8","key":"2772_CR5","doi-asserted-by":"publisher","first-page":"10819","DOI":"10.1007\/s10586-024-04520-5","volume":"27","author":"B Cao","year":"2024","unstructured":"Cao B, Wang S, Xie X et al (2024) Arir: an intent recognition-based approach for api recommendation. Clust Comput 27(8):10819\u201310832. https:\/\/doi.org\/10.1007\/s10586-024-04520-5","journal-title":"Clust Comput"},{"key":"2772_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.115482","volume":"185","author":"H Khojamli","year":"2021","unstructured":"Khojamli H, Razmara J (2021) Survey of similarity functions on neighborhood-based collaborative filtering. Expert Syst Appl 185:115482. https:\/\/doi.org\/10.1016\/j.eswa.2021.115482","journal-title":"Expert Syst Appl"},{"issue":"11","key":"2772_CR7","doi-asserted-by":"publisher","first-page":"2337","DOI":"10.1002\/spe.2902","volume":"51","author":"W Gong","year":"2021","unstructured":"Gong W, Lv C, Duan Y et al (2021) Keywords-driven web apis group recommendation for automatic app service creation process. Softw Pract Exp 51(11):2337\u20132354. https:\/\/doi.org\/10.1002\/spe.2902","journal-title":"Softw Pract Exp"},{"issue":"3","key":"2772_CR8","doi-asserted-by":"publisher","first-page":"2930","DOI":"10.1109\/TII.2022.3177411","volume":"19","author":"H Chen","year":"2023","unstructured":"Chen H, Wu H, Li J et al (2023) Keyword-driven service recommendation via deep reinforced steiner tree search. IEEE Trans Ind Inf 19(3):2930\u20132941. https:\/\/doi.org\/10.1109\/TII.2022.3177411","journal-title":"IEEE Trans Ind Inf"},{"issue":"2","key":"2772_CR9","doi-asserted-by":"publisher","first-page":"771","DOI":"10.1109\/TCSS.2022.3168595","volume":"10","author":"S Wu","year":"2023","unstructured":"Wu S, Shen S, Xu X et al (2023) Popularity-aware and diverse web apis recommendation based on correlation graph. IEEE Trans Comput Soc Syst 10(2):771\u2013782. https:\/\/doi.org\/10.1109\/TCSS.2022.3168595","journal-title":"IEEE Trans Comput Soc Syst"},{"key":"2772_CR10","doi-asserted-by":"publisher","unstructured":"Zhang X, Liu J, Shi M, et al (2021) Word embedding-based web service representations for classification and clustering. In: 2021 IEEE International Conference on Services Computing (SCC), pp 34\u201343, https:\/\/doi.org\/10.1109\/SCC53864.2021.00015","DOI":"10.1109\/SCC53864.2021.00015"},{"key":"2772_CR11","doi-asserted-by":"publisher","unstructured":"Geng J, Cao B, Ye H, et al (2020) Web service recommendation based on knowledge graph convolutional network and doc2vec. In: 2020 IEEE World Congress on Services (SERVICES), pp 95\u2013100, https:\/\/doi.org\/10.1109\/SERVICES48979.2020.00033","DOI":"10.1109\/SERVICES48979.2020.00033"},{"issue":"6","key":"2772_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3651312","volume":"18","author":"D Song","year":"2024","unstructured":"Song D, Yang E, Guo G et al (2024) Multi-scenario and multi-task aware feature interaction for recommendation system. ACM Trans Knowl Discov Data 18(6):1\u201320. https:\/\/doi.org\/10.1145\/3651312","journal-title":"ACM Trans Knowl Discov Data"},{"key":"2772_CR13","doi-asserted-by":"publisher","unstructured":"Chen Z, Yu J, Fan S, et al (2025) Latent diffusion model-based data poisoning attack against qos-aware cloud api recommender system. Computer Networks p 111120. https:\/\/doi.org\/10.1016\/j.comnet.2025.111120","DOI":"10.1016\/j.comnet.2025.111120"},{"key":"2772_CR14","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-021-02478-0","author":"AN Ngaffo","year":"2022","unstructured":"Ngaffo AN, Ayeb WE, Choukair Z (2022) Service recommendation driven by a matrix factorization model and time series forecasting. Appl Intell. https:\/\/doi.org\/10.1007\/s10489-021-02478-0","journal-title":"Appl Intell"},{"issue":"4","key":"2772_CR15","doi-asserted-by":"publisher","first-page":"4183","DOI":"10.1109\/TNSM.2021.3125028","volume":"18","author":"G Kang","year":"2021","unstructured":"Kang G, Liu J, Xiao Y et al (2021) Neural and attentional factorization machine-based web api recommendation for mashup development. IEEE Trans Netw Serv Manage 18(4):4183\u20134196. https:\/\/doi.org\/10.1109\/TNSM.2021.3125028","journal-title":"IEEE Trans Netw Serv Manage"},{"issue":"1","key":"2772_CR16","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1109\/TCSS.2020.2965234","volume":"8","author":"W Lin","year":"2021","unstructured":"Lin W, Zhang X, Qi L et al (2021) Location-aware service recommendations with privacy-preservation in the internet of things. IEEE Trans Comput Soc Syst 8(1):227\u2013235. https:\/\/doi.org\/10.1109\/TCSS.2020.2965234","journal-title":"IEEE Trans Comput Soc Syst"},{"key":"2772_CR17","doi-asserted-by":"publisher","unstructured":"Fletcher KK (2019) A quality-aware web api recommender system for mashup development. In: Services Computing\u2013SCC 2019: 16th International Conference, Held as Part of the Services Conference Federation, SCF 2019, San Diego, CA, USA, June 25\u201330, 2019, Proceedings 16, Springer, pp 1\u201315, https:\/\/doi.org\/10.1007\/978-3-030-23554-3_1","DOI":"10.1007\/978-3-030-23554-3_1"},{"issue":"2","key":"2772_CR18","doi-asserted-by":"publisher","first-page":"502","DOI":"10.1109\/TSC.2018.2803171","volume":"14","author":"L Yao","year":"2021","unstructured":"Yao L, Wang X, Sheng QZ et al (2021) Mashup recommendation by regularizing matrix factorization with api co-invocations. IEEE Trans Serv Comput 14(2):502\u2013515. https:\/\/doi.org\/10.1109\/TSC.2018.2803171","journal-title":"IEEE Trans Serv Comput"},{"key":"2772_CR19","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113347","volume":"151","author":"KA Botangen","year":"2020","unstructured":"Botangen KA, Yu J, Sheng QZ et al (2020) Geographic-aware collaborative filtering for web service recommendation. Expert Syst Appl 151:113347. https:\/\/doi.org\/10.1016\/j.eswa.2020.113347","journal-title":"Expert Syst Appl"},{"key":"2772_CR20","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-021-00943-x","author":"F Wang","year":"2022","unstructured":"Wang F, Wang L, Li G et al (2022) Edge-cloud-enabled matrix factorization for diversified apis recommendation in mashup creation. World Wide Web. https:\/\/doi.org\/10.1007\/s11280-021-00943-x","journal-title":"World Wide Web"},{"key":"2772_CR21","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.115698","volume":"186","author":"M Nguyen","year":"2021","unstructured":"Nguyen M, Yu J, Nguyen T et al (2021) Attentional matrix factorization with context and co-invocation for service recommendation. Expert Syst Appl 186:115698. https:\/\/doi.org\/10.1016\/j.eswa.2021.115698","journal-title":"Expert Syst Appl"},{"key":"2772_CR22","doi-asserted-by":"publisher","first-page":"62221","DOI":"10.1109\/ACCESS.2019.2909548","volume":"7","author":"T Cheng","year":"2019","unstructured":"Cheng T, Wen J, Xiong Q et al (2019) Personalized web service recommendation based on qos prediction and hierarchical tensor decomposition. IEEE Access 7:62221\u201362230. https:\/\/doi.org\/10.1109\/ACCESS.2019.2909548","journal-title":"IEEE Access"},{"issue":"6","key":"2772_CR23","doi-asserted-by":"publisher","first-page":"5977","DOI":"10.1109\/TNSM.2024.3422233","volume":"21","author":"G Kang","year":"2024","unstructured":"Kang G, Liang B, Liu J et al (2024) Web api recommendation via leveraging content and network semantics. IEEE Trans Netw Serv Manage 21(6):5977\u20135991. https:\/\/doi.org\/10.1109\/TNSM.2024.3422233","journal-title":"IEEE Trans Netw Serv Manage"},{"key":"2772_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.infsof.2024.107428","volume":"169","author":"M Tang","year":"2024","unstructured":"Tang M, Xie F, Lian S et al (2024) Mashup-oriented api recommendation via pre-trained heterogeneous information networks. Inf Softw Technol 169:107428. https:\/\/doi.org\/10.1016\/j.infsof.2024.107428","journal-title":"Inf Softw Technol"},{"key":"2772_CR25","doi-asserted-by":"publisher","first-page":"178","DOI":"10.1016\/j.eswa.2019.01.025","volume":"123","author":"F Xie","year":"2019","unstructured":"Xie F, Wang J, Xiong R et al (2019) An integrated service recommendation approach for service-based system development. Expert Syst Appl 123:178\u2013194. https:\/\/doi.org\/10.1016\/j.eswa.2019.01.025","journal-title":"Expert Syst Appl"},{"key":"2772_CR26","doi-asserted-by":"publisher","unstructured":"Chen T, Liu J, Cao B, et\u00a0al (2018) Web service recommendation based on word embedding and topic model. In: 2018 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Ubiquitous Computing & Communications, Big Data & Cloud Computing, Social Computing & Networking, Sustainable Computing & Communications (ISPA\/IUCC\/BDCloud\/SocialCom\/SustainCom), pp 903\u2013910, https:\/\/doi.org\/10.1109\/BDCloud.2018.00133","DOI":"10.1109\/BDCloud.2018.00133"},{"issue":"6","key":"2772_CR27","doi-asserted-by":"publisher","first-page":"3170","DOI":"10.1109\/TSC.2021.3085491","volume":"15","author":"Q Gu","year":"2022","unstructured":"Gu Q, Cao J, Liu Y (2022) Csbr: a compositional semantics-based service bundle recommendation approach for mashup development. IEEE Trans Serv Comput 15(6):3170\u20133183. https:\/\/doi.org\/10.1109\/TSC.2021.3085491","journal-title":"IEEE Trans Serv Comput"},{"key":"2772_CR28","doi-asserted-by":"publisher","unstructured":"Shi M, Tang y, Liu J, (2019) Functional and contextual attention-based lstm for service recommendation in mashup creation. IEEE Trans Parallel Distrib Syst 30(5):1077\u20131090. https:\/\/doi.org\/10.1109\/TPDS.2018.2877363","DOI":"10.1109\/TPDS.2018.2877363"},{"key":"2772_CR29","doi-asserted-by":"publisher","DOI":"10.1016\/j.jss.2023.111873","volume":"207","author":"T Yu","year":"2024","unstructured":"Yu T, Yu D, Wang D et al (2024) Iterative framework based on multi-task learning for service recommendation. J Syst Softw 207:111873. https:\/\/doi.org\/10.1016\/j.jss.2023.111873","journal-title":"J Syst Softw"},{"issue":"6","key":"2772_CR30","doi-asserted-by":"publisher","first-page":"3330","DOI":"10.1109\/TSC.2021.3098756","volume":"15","author":"H Wu","year":"2022","unstructured":"Wu H, Duan Y, Yue K et al (2022) Mashup-oriented web api recommendation via multi-model fusion and multi-task learning. IEEE Trans Serv Comput 15(6):3330\u20133343. https:\/\/doi.org\/10.1109\/TSC.2021.3098756","journal-title":"IEEE Trans Serv Comput"},{"issue":"8","key":"2772_CR31","doi-asserted-by":"publisher","first-page":"8993","DOI":"10.1007\/s11227-022-05011-3","volume":"79","author":"T Yu","year":"2023","unstructured":"Yu T, Yu D, Wang D et al (2023) Web service recommendation for mashup creation based on graph network. J Supercomput 79(8):8993\u20139020. https:\/\/doi.org\/10.1007\/s11227-022-05011-3","journal-title":"J Supercomput"},{"issue":"3","key":"2772_CR32","doi-asserted-by":"publisher","first-page":"1551","DOI":"10.1109\/TSC.2020.3001307","volume":"15","author":"Y Fan","year":"2022","unstructured":"Fan Y, Zhang J, Zhang J et al (2022) Learning to build accurate service representations and visualization. IEEE Trans Serv Comput 15(3):1551\u20131563. https:\/\/doi.org\/10.1109\/TSC.2020.3001307","journal-title":"IEEE Trans Serv Comput"},{"issue":"9","key":"2772_CR33","doi-asserted-by":"publisher","first-page":"1904","DOI":"10.1109\/TPAMI.2015.2389824","volume":"37","author":"K He","year":"2015","unstructured":"He K, Zhang X, Ren S et al (2015) Spatial pyramid pooling in deep convolutional networks for visual recognition. IEEE Trans Pattern Anal Mach Intell 37(9):1904\u20131916. https:\/\/doi.org\/10.1109\/TPAMI.2015.2389824","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"2772_CR34","doi-asserted-by":"publisher","unstructured":"Devlin J, Chang MW, Lee K, et\u00a0al (2019) BERT: Pre-training of deep bidirectional transformers for language understanding. In: Burstein J, Doran C, Solorio T (eds) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). Association for Computational Linguistics, Minneapolis, Minnesota, pp 4171\u20134186, https:\/\/doi.org\/10.18653\/v1\/N19-1423","DOI":"10.18653\/v1\/N19-1423"},{"key":"2772_CR35","doi-asserted-by":"crossref","unstructured":"Jawahar G, Sagot B, Seddah D (2019) What does BERT learn about the structure of language? In: ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Florence, Italy, https:\/\/inria.hal.science\/hal-02131630","DOI":"10.18653\/v1\/P19-1356"},{"key":"2772_CR36","first-page":"59","volume":"30","author":"S Sabour","year":"2017","unstructured":"Sabour S, Frosst N, Hinton GE (2017) Dynamic routing between capsules. Adv Neural Inf Process Syst 30:59","journal-title":"Adv Neural Inf Process Syst"},{"key":"2772_CR37","doi-asserted-by":"crossref","unstructured":"Liu X, He P, Chen W, et\u00a0al (2019) Multi-task deep neural networks for natural language understanding. In: Korhonen A, Traum D, Marquez L (eds) 57TH Annual Meeting of the Association for Computational Linguistics (ACL 2019), pp 4487\u20134496","DOI":"10.18653\/v1\/P19-1441"},{"key":"2772_CR38","unstructured":"Schnabel T, Swaminathan A, Singh A, et\u00a0al (2016) Recommendations as treatments: Debiasing learning and evaluation. In: International Conference on Machine Learning, PMLR, pp 1670\u20131679"},{"key":"2772_CR39","doi-asserted-by":"publisher","unstructured":"Ge Y, Liu S, Gao R, et\u00a0al (2021) Towards long-term fairness in recommendation. In: Proceedings of the 14th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, New York, NY, USA, WSDM \u201921, p 445\u2013453, https:\/\/doi.org\/10.1145\/3437963.3441824,","DOI":"10.1145\/3437963.3441824"},{"key":"2772_CR40","doi-asserted-by":"publisher","unstructured":"Xia C, Shi X, Xie H, et\u00a0al (2024) Hierarchical reinforcement learning for long-term fairness in interactive recommendation. In: 2024 IEEE International Conference on Web Services (ICWS), pp 300\u2013309, https:\/\/doi.org\/10.1109\/ICWS62655.2024.00052","DOI":"10.1109\/ICWS62655.2024.00052"},{"key":"2772_CR41","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1016\/j.comcom.2023.11.018","volume":"213","author":"T Yu","year":"2024","unstructured":"Yu T, Zhang L, Liu H et al (2024) Service recommendation based on contrastive learning and multi-task learning. Comput Commun 213:285\u2013295. https:\/\/doi.org\/10.1016\/j.comcom.2023.11.018","journal-title":"Comput Commun"}],"container-title":["Knowledge and Information Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10115-026-02772-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10115-026-02772-8","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10115-026-02772-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T12:19:14Z","timestamp":1777033154000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10115-026-02772-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,24]]},"references-count":41,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2026,12]]}},"alternative-id":["2772"],"URL":"https:\/\/doi.org\/10.1007\/s10115-026-02772-8","relation":{},"ISSN":["0219-1377","0219-3116"],"issn-type":[{"value":"0219-1377","type":"print"},{"value":"0219-3116","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,4,24]]},"assertion":[{"value":"21 June 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 October 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 April 2026","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 April 2026","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This study does not contain any studies with human participants or animals performed by any of the authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}],"article-number":"136"}}