{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T07:25:28Z","timestamp":1740122728641,"version":"3.37.3"},"reference-count":53,"publisher":"Springer Science and Business Media LLC","issue":"21","license":[{"start":{"date-parts":[[2023,8,8]],"date-time":"2023-08-08T00:00:00Z","timestamp":1691452800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,8,8]],"date-time":"2023-08-08T00:00:00Z","timestamp":1691452800000},"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":["62102281","61832014","62032016","61972276"],"award-info":[{"award-number":["62102281","61832014","62032016","61972276"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2023,11]]},"DOI":"10.1007\/s10489-023-04852-6","type":"journal-article","created":{"date-parts":[[2023,8,8]],"date-time":"2023-08-08T06:01:46Z","timestamp":1691474506000},"page":"25343-25358","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Towards evolving software recommendation with time-sliced social and behavioral information"],"prefix":"10.1007","volume":"53","author":[{"given":"Hongqi","family":"Chen","sequence":"first","affiliation":[]},{"given":"Zhiyong","family":"Feng","sequence":"additional","affiliation":[]},{"given":"Shizhan","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Xiao","family":"Xue","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3572-8478","authenticated-orcid":false,"given":"Hongyue","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Yingchao","family":"Sun","sequence":"additional","affiliation":[]},{"given":"Yanwei","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Gaoyong","family":"Han","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,8,8]]},"reference":[{"key":"4852_CR1","doi-asserted-by":"publisher","first-page":"106845","DOI":"10.1016\/j.infsof.2022.106845","volume":"145","author":"J Wang","year":"2022","unstructured":"Wang J, Zhang X, Chen L, Xie X (2022) Personalizing label prediction for github issues. Inf Softw Technol 145:106845","journal-title":"Inf Softw Technol"},{"key":"4852_CR2","doi-asserted-by":"publisher","first-page":"105830","DOI":"10.1016\/j.asoc.2019.105830","volume":"85","author":"N Almarimi","year":"2019","unstructured":"Almarimi N, Ouni A, Bouktif S, Mkaouer MW, Kula RG, Saied MA (2019) Web service api recommendation for automated mashup creation using multi-objective evolutionary search. Appl Soft Comput 85:105830","journal-title":"Appl Soft Comput"},{"issue":"4","key":"4852_CR3","doi-asserted-by":"publisher","first-page":"1585","DOI":"10.3390\/app11041585","volume":"11","author":"J Kim","year":"2021","unstructured":"Kim J, Wi J, Kim Y (2021) Sequential recommendations on github repository. Appl Sci 11(4):1585","journal-title":"Appl Sci"},{"key":"4852_CR4","first-page":"114","volume":"01","author":"N Li","year":"2022","unstructured":"Li N, Gao C, Jin D, Liao Q (2022) Disentangled Modeling of Social Homophily and Influence for Social Recommendation. IEEE Transactions on Knowledge & Data Engineering 01:114","journal-title":"IEEE Transactions on Knowledge & Data Engineering"},{"key":"4852_CR5","doi-asserted-by":"publisher","first-page":"108463","DOI":"10.1016\/j.asoc.2022.108463","volume":"118","author":"D Yan","year":"2022","unstructured":"Yan D, Tang T, Xie W, Zhang Y, He Q (2022) Session-based social and dependency-aware software recommendation. Appl Soft Comput 118:108463","journal-title":"Appl Soft Comput"},{"issue":"2","key":"4852_CR6","doi-asserted-by":"publisher","first-page":"222","DOI":"10.1631\/FITEE.1700196","volume":"20","author":"C Yang","year":"2019","unstructured":"Yang C, Fan Q, Wang T, Yin G, Zhang X-h, Yu Y, Wang H-m (2019) Repolike:amulti-feature-based personalized recommendation approach for open-source repositories. Frontiers of Information Technology & Electronic Engineering 20(2):222\u2013237","journal-title":"Frontiers of Information Technology & Electronic Engineering"},{"key":"4852_CR7","doi-asserted-by":"publisher","first-page":"106961","DOI":"10.1016\/j.infsof.2022.106961","volume":"150","author":"S Bai","year":"2022","unstructured":"Bai S, Liu L, Liu H, Zhang M, Meng C, Zhang P (2022) Find potential partners: A GitHub user recommendation method based on event data. Inf Softw Technol 150:106961","journal-title":"Inf Softw Technol"},{"issue":"10","key":"4852_CR8","doi-asserted-by":"publisher","first-page":"7440","DOI":"10.1007\/s10489-021-02284-8","volume":"51","author":"J Zhang","year":"2021","unstructured":"Zhang J, Ma C, Zhong C, Mu X, Wang L (2021) Mbpi: Mixed behaviors and preference interaction for session-based recommendation. Appl Intell 51(10):7440\u20137452","journal-title":"Appl Intell"},{"issue":"3","key":"4852_CR9","doi-asserted-by":"publisher","first-page":"2480","DOI":"10.1007\/s10489-021-02560-7","volume":"52","author":"S Zhang","year":"2022","unstructured":"Zhang S, Liu H, Mei L, He J, Du X (2022) Predicting viewer\u2019s watching behavior and live streaming content change for anchor recommendation. Appl Intell 52(3):2480\u20132495","journal-title":"Appl Intell"},{"issue":"2","key":"4852_CR10","doi-asserted-by":"publisher","first-page":"429","DOI":"10.1007\/s10707-021-00439-w","volume":"26","author":"B Yu","year":"2022","unstructured":"Yu B, Zhang R, Chen W, Fang J (2022) Graph neural network based model for multi-behavior session-based recommendation. GeoInformatica 26(2):429\u2013447","journal-title":"GeoInformatica"},{"key":"4852_CR11","first-page":"545","volume":"2020","author":"Y Xu","year":"2020","unstructured":"Xu Y, Chen J, Huang C, Zhang B, Xing H, Dai P, Bo L (2020) Joint modeling of local and global behavior dynamics for session-based recommendation. ECAI 2020:545\u2013552","journal-title":"ECAI"},{"key":"4852_CR12","doi-asserted-by":"crossref","unstructured":"Li L, Shi Y, Zhang K, Ren Y (2020) A co-attention model with sequential behaviors and side information for session-based recommendation. In: 2020 IEEE International Conference on Web Services (ICWS), IEEE, pp 118\u2013125","DOI":"10.1109\/ICWS49710.2020.00023"},{"key":"4852_CR13","unstructured":"Zhang M, Wu S, Gao M, Jiang X, Xu K, Wang L (2020) Personalized graph neural networks with attention mechanism for session-aware recommendation. IEEE Trans Knowl Data Eng"},{"key":"4852_CR14","doi-asserted-by":"crossref","unstructured":"Pan Z, Cai F, Chen W, Chen H, de Rijke M (2020) Star graph neural networks for session-based recommendation. In: Proceedings of the 29th ACM international conference on information & knowledge management, pp 1195\u20131204","DOI":"10.1145\/3340531.3412014"},{"key":"4852_CR15","doi-asserted-by":"crossref","unstructured":"Twardowski B (2016) Modelling contextual information in session-aware recommender systems with neural networks. In: RecSys, pp 273\u2013276","DOI":"10.1145\/2959100.2959162"},{"key":"4852_CR16","doi-asserted-by":"publisher","first-page":"230","DOI":"10.1016\/j.neucom.2021.11.030","volume":"471","author":"T Zang","year":"2022","unstructured":"Zang T, Zhu Y, Zhu J, Xu Y, Liu H (2022) MPAN: multi-parallel attention network for session-based recommendation. Neurocomputing 471:230\u2013241","journal-title":"Neurocomputing"},{"key":"4852_CR17","doi-asserted-by":"crossref","unstructured":"Li L, Shi Y, Zhang K, Ren Y (2020) A co-attention model with sequential behaviors and side information for session-based recommendation. In: ICWS, pp 118\u2013125","DOI":"10.1109\/ICWS49710.2020.00023"},{"key":"4852_CR18","doi-asserted-by":"crossref","unstructured":"Sun M, Yuan J, Song Z, Jin Y, Lu X, Wang X (2020) POEM: position order enhanced model for session-based recommendation service. In: ICWS, pp 126\u2013133","DOI":"10.1109\/ICWS49710.2020.00024"},{"key":"4852_CR19","doi-asserted-by":"crossref","unstructured":"Wu S, Tang Y, Zhu Y, Wang L, Xie X, Tan T (2019) Session-based recommendation with graph neural networks. In: AAAI, pp 346\u2013353","DOI":"10.1609\/aaai.v33i01.3301346"},{"key":"4852_CR20","doi-asserted-by":"crossref","unstructured":"Jiang W, Sun Y (2022) Social-ripplenet: Jointly modeling of ripple net and social information for recommendation. Appl Intell 1\u201316","DOI":"10.1007\/s10489-022-03620-2"},{"issue":"4","key":"4852_CR21","doi-asserted-by":"publisher","first-page":"5203","DOI":"10.1007\/s11227-021-04087-7","volume":"78","author":"PK Jain","year":"2022","unstructured":"Jain PK, Pamula R, Yekun EA (2022) A multi-label ensemble predicting model to service recommendation from social media contents. J Supercomput 78(4):5203\u20135220","journal-title":"J Supercomput"},{"issue":"1","key":"4852_CR22","doi-asserted-by":"publisher","first-page":"879","DOI":"10.1007\/s10489-022-03542-z","volume":"53","author":"N Vatani","year":"2023","unstructured":"Vatani N, Rahmani AM, Javadi HHS (2023) Personality-based and trust-aware products recommendation in social networks. Appl Intell 53(1):879\u2013903","journal-title":"Appl Intell"},{"key":"4852_CR23","doi-asserted-by":"crossref","unstructured":"Yu J, Yin H, Li J, Wang Q, Hung NQV, Zhang X (2021) Self-supervised multi-channel hypergraph convolutional network for social recommendation. Proceedings of the Web Conference 2021. pp 413\u2013424","DOI":"10.1145\/3442381.3449844"},{"key":"4852_CR24","doi-asserted-by":"crossref","unstructured":"Vatani N, Rahmani AM, Javadi HHS (2022) Personality-based and trust-aware products recommendation in social networks. Appl Intell 1\u201325","DOI":"10.1007\/s10489-022-03542-z"},{"key":"4852_CR25","doi-asserted-by":"crossref","unstructured":"Guo Z, Yu K, Li Y, Srivastava G, Lin JC-W (2021) Deep learning-embedded social internet of things for ambiguity-aware social recommendations. IEEE Trans Netw Sci Eng","DOI":"10.1109\/TNSE.2021.3049262"},{"key":"4852_CR26","volume-title":"A novel group recommendation model with two-stage deep learning","author":"Z Huang","year":"2021","unstructured":"Huang Z, Liu Y, Zhan C, Lin C, Cai W, Chen Y (2021) A novel group recommendation model with two-stage deep learning. Systems, IEEE Trans Syst Man Cybern"},{"key":"4852_CR27","doi-asserted-by":"crossref","unstructured":"Amirat H, Lagraa N, Fournier-Viger P, Ouinten Y, Kherfi ML, Guellouma Y (2022) Incremental tree-based successive poi recommendation in location-based social networks. Appl Intell 1\u201337","DOI":"10.1007\/s10489-022-03842-4"},{"issue":"7","key":"4852_CR28","doi-asserted-by":"publisher","first-page":"2956","DOI":"10.1109\/TKDE.2019.2961666","volume":"33","author":"H Liu","year":"2019","unstructured":"Liu H, Jing L, Yu J, Ng MK (2019) Social recommendation with learning personal and social latent factors. IEEE transactions on knowledge and data engineering 33(7):2956\u20132970","journal-title":"IEEE transactions on knowledge and data engineering"},{"issue":"1","key":"4852_CR29","doi-asserted-by":"publisher","first-page":"511","DOI":"10.1109\/TNSE.2020.3044035","volume":"8","author":"L Wan","year":"2020","unstructured":"Wan L, Xia F, Kong X, Hsu C-H, Huang R, Ma J (2020) Deep matrix factorization for trust-aware recommendation in social networks. IEEE Trans Netw Sci Eng 8(1):511\u2013528","journal-title":"IEEE Trans Netw Sci Eng"},{"key":"4852_CR30","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2021.107206","volume":"93","author":"S Xu","year":"2021","unstructured":"Xu S, Zhuang H, Sun F, Wang S, Wu T, Dong J (2021) Recommendation algorithm of probabilistic matrix factorization based on directed trust. Comput Electr Eng 93:107206","journal-title":"Comput Electr Eng"},{"key":"4852_CR31","doi-asserted-by":"publisher","first-page":"14147","DOI":"10.1007\/s11042-020-08620-3","volume":"79","author":"R Chen","year":"2020","unstructured":"Chen R, Chang Y-S, Hua Q, Gao Q, Ji X, Wang B (2020) An enhanced social matrix factorization model for recommendation based on social networks using social interaction factors. Multimedia Tools and Applications 79:14147\u201314177","journal-title":"Multimedia Tools and Applications"},{"key":"4852_CR32","unstructured":"Jiang N, Gao L, Duan F, Wen J, Wan T, Chen H (2021) SAN: Attention-based social aggregation neural networks for recommendation system. Int J Intell Syst 1\u201321"},{"key":"4852_CR33","doi-asserted-by":"crossref","unstructured":"Zhu Y, Liu M, Tu Z, Su T, Wang Z (2021) Sraslr: A novel social relation aware service label recommendation model. In: ICWS, pp 87\u201396","DOI":"10.1109\/ICWS53863.2021.00024"},{"key":"4852_CR34","doi-asserted-by":"crossref","unstructured":"Qi P, Sun Y, Luo H, Guizani M (2022) Scratch-rec: a novel scratch recommendation approach adapting user preference and programming skill for enhancing learning to program. Appl Intell 1\u201318","DOI":"10.1007\/s10489-021-02970-7"},{"key":"4852_CR35","doi-asserted-by":"publisher","first-page":"106497","DOI":"10.1016\/j.infsof.2020.106497","volume":"131","author":"AS Filippetto","year":"2021","unstructured":"Filippetto AS, Lima R, Barbosa JLV (2021) A risk prediction model for software project management based on similarity analysis of context histories. Inf Softw Technol 131:106497","journal-title":"Inf Softw Technol"},{"key":"4852_CR36","doi-asserted-by":"crossref","unstructured":"Di Rocco J, Di Ruscio D, Di Sipio C, Nguyen PT, Rubei R (2022) Hybridrec: A recommender system for tagging github repositories. Appl Intell 1\u201323","DOI":"10.2139\/ssrn.3986698"},{"key":"4852_CR37","doi-asserted-by":"crossref","unstructured":"Shao H, Sun D, Wu J, Zhang Z, Zhang A, Yao S, Liu S, Wang T, Zhang C, Abdelzaher T (2020) paper2repo: Github repository recommendation for academic papers. Proceedings of The Web Conference 2020. pp 629\u2013639","DOI":"10.1145\/3366423.3380145"},{"key":"4852_CR38","doi-asserted-by":"crossref","unstructured":"Rubei R, Di Ruscio D, Di\u00a0Sipio C, Di Rocco J, Nguyen PT (2022) Providing upgrade plans for third-party libraries: a recommender system using migration graphs. Appl Intell 1\u201316","DOI":"10.1007\/s10489-021-02911-4"},{"key":"4852_CR39","doi-asserted-by":"crossref","unstructured":"Zhao J-z, Zhang X, Gao C, Li Z-d, Wang B-l (2022) Kg2lib: knowledge-graph-based convolutional network for third-party library recommendation. J Supercomput 1\u201326","DOI":"10.1007\/s11227-022-04603-3"},{"key":"4852_CR40","first-page":"817","volume-title":"2022 IEEE International Conference on Software Analysis","author":"R Rubei","year":"2022","unstructured":"Rubei R, Di Sipio C, Di Rocco J, Di Ruscio D, Nguyen PT (2022) Endowing third-party libraries recommender systems with explicit user feedback mechanisms. 2022 IEEE International Conference on Software Analysis. Evolution and Reengineering (SANER), IEEE, pp 817\u2013821"},{"issue":"3","key":"4852_CR41","doi-asserted-by":"publisher","first-page":"685","DOI":"10.1109\/TBDATA.2020.2975587","volume":"8","author":"L Qi","year":"2020","unstructured":"Qi L, He Q, Chen F, Zhang X, Dou W, Ni Q (2020) Data-driven web APIs recommendation for building web applications. IEEE transactions on big data 8(3):685\u2013698","journal-title":"IEEE transactions on big data"},{"key":"4852_CR42","doi-asserted-by":"crossref","unstructured":"Jiang Y, Yan S, Qi P, Sun Y (2020) Adapting to user interest drifts for recommendations in scratch. In: 2020 International Wireless Communications and Mobile Computing (IWCMC), pp 1528\u20131534","DOI":"10.1109\/IWCMC48107.2020.9148105"},{"issue":"5","key":"4852_CR43","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11432-017-9419-x","volume":"61","author":"X Sun","year":"2018","unstructured":"Sun X, Xu W, Xia X, Chen X, Li B (2018) Personalized project recommendation on github. Sci China Inf Sci 61(5):1\u201314","journal-title":"Sci China Inf Sci"},{"key":"4852_CR44","unstructured":"He Q, Li B, Chen F, Grundy J, Xia X, Yang Y (2020) Diversified third-party library prediction for mobile app development. IEEE Trans Softw Eng"},{"key":"4852_CR45","doi-asserted-by":"crossref","unstructured":"Zhang M, Liu J, Zhang W, Deng K, Dong H, Liu Y (2021) Cssr: A context-aware sequential software service recommendation model. In: International Conference on Service-Oriented Computing, Springer, pp 691\u2013699","DOI":"10.1007\/978-3-030-91431-8_45"},{"key":"4852_CR46","doi-asserted-by":"crossref","unstructured":"Fan W, Ma Y, Li Q, He Y, Zhao YE, Tang J, Yin D (2019) Graph neural networks for social recommendation. In: WWW, pp 417\u2013426","DOI":"10.1145\/3308558.3313488"},{"key":"4852_CR47","doi-asserted-by":"crossref","unstructured":"Linden G, Smith B, York J (2003) Amazon. com recommendations: Item-to-item collaborative filtering. IEEE Internet computing 7(1):76\u201380","DOI":"10.1109\/MIC.2003.1167344"},{"key":"4852_CR48","unstructured":"Rendle S, Freudenthaler C, Gantner Z, Schmidt-Thieme L (2009) Bpr: Bayesian personalized ranking from implicit feedback. In: In Proceedings of the conference on uncertainty in articial intelligence, pp 452\u2013461"},{"key":"4852_CR49","unstructured":"Hidasi B, Karatzoglou A, Baltrunas L, Tikk D (2016) Session-based recommendations with recurrent neural networks. In: ICLR (Poster)"},{"key":"4852_CR50","doi-asserted-by":"crossref","unstructured":"Fan W, Ma Y, Li Q, He Y, Zhao E, Tang J, Yin D (2019) Graph neural networks for social recommendation. In: The world wide web conference, pp 417\u2013426","DOI":"10.1145\/3308558.3313488"},{"key":"4852_CR51","doi-asserted-by":"crossref","unstructured":"Song W, Xiao Z, Wang Y, Charlin L, Zhang M, Tang J (2019) Session-based social recommendation via dynamic graph attention networks. In: WSDM, pp 555\u2013563","DOI":"10.1145\/3289600.3290989"},{"key":"4852_CR52","doi-asserted-by":"crossref","unstructured":"Qin J, Ren K, Fang Y, Zhang W, Yu Y (2020) Sequential recommendation with dual side neighbor-based collaborative relation modeling. In: Proceedings of the 13th international conference on web search and data mining, pp 465\u2013473","DOI":"10.1145\/3336191.3371842"},{"key":"4852_CR53","doi-asserted-by":"crossref","unstructured":"Chen Z, Zhang W, Yan J, Wang G, Wang J (2021) Learning dual dynamic representations on time-sliced user-item interaction graphs for sequential recommendation. In: Proceedings of the 30th ACM International Conference on Information and Knowledge Management, pp 231\u2013240","DOI":"10.1145\/3459637.3482443"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-023-04852-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10489-023-04852-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-023-04852-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T14:17:47Z","timestamp":1698070667000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10489-023-04852-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8,8]]},"references-count":53,"journal-issue":{"issue":"21","published-print":{"date-parts":[[2023,11]]}},"alternative-id":["4852"],"URL":"https:\/\/doi.org\/10.1007\/s10489-023-04852-6","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"type":"print","value":"0924-669X"},{"type":"electronic","value":"1573-7497"}],"subject":[],"published":{"date-parts":[[2023,8,8]]},"assertion":[{"value":"29 June 2023","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 August 2023","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Statements and 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":"Conflicts of interest"}}]}}