{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T03:29:15Z","timestamp":1743132555779,"version":"3.40.3"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031162091"},{"type":"electronic","value":"9783031162107"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-16210-7_5","type":"book-chapter","created":{"date-parts":[[2022,9,20]],"date-time":"2022-09-20T23:03:09Z","timestamp":1663714989000},"page":"57-68","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["A Recommendation System for\u00a0Job Providers Using a\u00a0Big Data Approach"],"prefix":"10.1007","author":[{"given":"Shayma","family":"Boukari","sequence":"first","affiliation":[]},{"given":"Seifeddine","family":"Mechti","sequence":"additional","affiliation":[]},{"given":"Rim","family":"Faiz","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,9,21]]},"reference":[{"key":"5_CR1","doi-asserted-by":"publisher","first-page":"914","DOI":"10.1016\/j.future.2017.04.028","volume":"93","author":"F Amato","year":"2019","unstructured":"Amato, F., Moscato, V., Picariello, A., Piccialli, F.: SOS: a multimedia recommender system for online social networks. Futur. Gener. Comput. Syst. 93, 914\u2013923 (2019)","journal-title":"Futur. Gener. Comput. Syst."},{"issue":"1","key":"5_CR2","doi-asserted-by":"publisher","first-page":"141","DOI":"10.3390\/electronics11010141","volume":"11","author":"H Ko","year":"2022","unstructured":"Ko, H., Lee, S., Park, Y., Choi, A.: A survey of recommendation systems: recommendation models, techniques, and application fields. Electronics 11(1), 141 (2022)","journal-title":"Electronics"},{"key":"5_CR3","doi-asserted-by":"publisher","first-page":"413","DOI":"10.1016\/j.future.2017.09.015","volume":"78","author":"M Eirinaki","year":"2018","unstructured":"Eirinaki, M., Gao, J., Varlamis, I., Tserpes, K.: Recommender systems for large-scale social networks: a review of challenges and solutions. Futur. Gener. Comput. Syst. 78, 413\u2013418 (2018)","journal-title":"Futur. Gener. Comput. Syst."},{"key":"5_CR4","volume":"37","author":"Y Xu","year":"2020","unstructured":"Xu, Y., Liu, H., Long, Z.: A distributed computing framework for wind speed big data forecasting on Apache Spark. Sustain. Energy Technol. Assess. 37, 100582 (2020)","journal-title":"Sustain. Energy Technol. Assess."},{"unstructured":"Adamov, A., et al.: Data processing in high-performance computing systems. Big Data Adv. Anal. (6-1), 33\u201352 (2020)","key":"5_CR5"},{"key":"5_CR6","doi-asserted-by":"publisher","first-page":"444","DOI":"10.3390\/electronics9030444","volume":"9","author":"V Morfino","year":"2020","unstructured":"Morfino, V., Rampone, S.: Towards near-real-time intrusion detection for IoT devices using supervised learning and Apache Spark. Electronics 9, 444 (2020)","journal-title":"Electronics"},{"issue":"10","key":"5_CR7","doi-asserted-by":"publisher","first-page":"1215","DOI":"10.3390\/electronics10101215","volume":"10","author":"MJ Awan","year":"2021","unstructured":"Awan, M.J., et al.: A recommendation engine for predicting movie ratings using a big data approach. Electronics 10(10), 1215 (2021)","journal-title":"Electronics"},{"issue":"15","key":"5_CR8","doi-asserted-by":"publisher","first-page":"8445","DOI":"10.3390\/su13158445","volume":"13","author":"F Alfawaire","year":"2021","unstructured":"Alfawaire, F., Atan, T.: The effect of strategic human resource and knowledge management on sustainable competitive advantages at Jordanian universities: the mediating role of organizational innovation. Sustainability 13(15), 8445 (2021)","journal-title":"Sustainability"},{"key":"5_CR9","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1016\/j.procs.2018.10.166","volume":"141","author":"S Al-Saqqa","year":"2018","unstructured":"Al-Saqqa, S., Al-Naymat, G., Awajan, A.: A large-scale sentiment data classification for online reviews under Apache Spark. Procedia Comput. Sci. 141, 183\u2013189 (2018)","journal-title":"Procedia Comput. Sci."},{"doi-asserted-by":"crossref","unstructured":"Mohamed, M.H., Khafagy, M.H., Ibrahim, M.H.: Recommender systems challenges and solutions survey. In: 2019 International Conference on Innovative Trends in Computer Engineering (ITCE), pp. 149\u2013155. IEEE, February 2019","key":"5_CR10","DOI":"10.1109\/ITCE.2019.8646645"},{"key":"5_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"212","DOI":"10.1007\/978-3-319-91464-0_21","volume-title":"Intelligent Tutoring Systems","author":"G Sun","year":"2018","unstructured":"Sun, G., Cui, T., Xu, D., Shen, J., Chen, S.: A heuristic approach for new-item cold start problem in recommendation of micro open education resources. In: Nkambou, R., Azevedo, R., Vassileva, J. (eds.) ITS 2018. LNCS, vol. 10858, pp. 212\u2013222. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-91464-0_21"},{"doi-asserted-by":"crossref","unstructured":"Tavakoli, M., Hakimov, S., Ewerth, R., Kismihok, G.: A recommender system for open educational videos based on skill requirements. In: 2020 IEEE 20th International Conference on Advanced Learning Technologies (ICALT), pp. 1\u20135. IEEE, July 2020","key":"5_CR12","DOI":"10.1109\/ICALT49669.2020.00008"},{"unstructured":"Ahmed, H.M., Javed Awan, M., Khan, N.S., Yasin, A., Faisal Shehzad, H.M.: Sentiment analysis of online food reviews using big data analytics. Elementary Educ. Online 20(2), 827\u2013836 (2021)","key":"5_CR13"},{"issue":"10","key":"5_CR14","doi-asserted-by":"publisher","first-page":"5069","DOI":"10.1007\/s00521-020-05302-x","volume":"33","author":"KFF Jiechieu","year":"2020","unstructured":"Jiechieu, K.F.F., Tsopze, N.: Skills prediction based on multi-label resume classification using CNN with model predictions explanation. Neural Comput. Appl. 33(10), 5069\u20135087 (2020). https:\/\/doi.org\/10.1007\/s00521-020-05302-x","journal-title":"Neural Comput. Appl."},{"key":"5_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2021.104327","volume":"104","author":"E Hernandez-Nieves","year":"2021","unstructured":"Hernandez-Nieves, E., Hern\u00e1ndez, G., Gil-Gonzalez, A.B., Rodr\u00edguez-Gonz\u00e1lez, S., Corchado, J.M.: CEBRA: a CasE-based Reasoning Application to recommend banking products. Eng. Appl. Artif. Intell. 104, 104327 (2021)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"5_CR16","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"302","DOI":"10.1007\/978-981-13-1936-5_33","volume-title":"Soft Computing Systems","author":"MF Aljunid","year":"2018","unstructured":"Aljunid, M.F., Manjaiah, D.H.: An improved ALS recommendation model based on Apache Spark. In: Zelinka, I., Senkerik, R., Panda, G., Lekshmi Kanthan, P.S. (eds.) ICSCS 2018. CCIS, vol. 837, pp. 302\u2013311. Springer, Singapore (2018). https:\/\/doi.org\/10.1007\/978-981-13-1936-5_33"},{"key":"5_CR17","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1016\/j.procs.2020.07.012","volume":"175","author":"C Oh","year":"2020","unstructured":"Oh, C., Han, S., Jeong, J.: Time-series data augmentation based on interpolation. Procedia Comput. Sci. 175, 64\u201371 (2020)","journal-title":"Procedia Comput. Sci."},{"unstructured":"Diaby, M., Viennet, E.: Developpement d\u2019une application de $$\\acute{}$$ recommandation d\u2019offres d\u2019emploi aux utilisateurs de Facebook et LinkedIn. In Atelier Fouille de Donnees Complexes de la 14e $$\\acute{}$$ Conference Internationale Francophone sur l\u2019Extraction et la Gestion $$\\acute{}$$ des Connaissances (EGC\u201914), Rennes (2014)","key":"5_CR18"},{"doi-asserted-by":"crossref","unstructured":"Gu, Y., Zhao, B., Hardtke, D., Sun, Y.: Learning global term weights for content-based recommender systems. In: Proceedings of the 25th International Conference on World Wide Web. International World Wide Web Conferences Steering Committee, pp. 391\u2013400 (2016)","key":"5_CR19","DOI":"10.1145\/2872427.2883069"},{"doi-asserted-by":"publisher","unstructured":"Hong, W., Zheng, S., Wang, H., Shi, J.: A job recommender system based on user clustering. J. Comput. 8(8) (2013). https:\/\/doi.org\/10.4304\/jcp.8.8.1960-1967","key":"5_CR20","DOI":"10.4304\/jcp.8.8.1960-1967"},{"doi-asserted-by":"crossref","unstructured":"Zhao, Z., Cheng, Z., Hong, L., Chi, E.H.: Improving user topic interest profiles by behavior factorization. In: Proceedings of the 24th International Conference on World Wide Web, pp. 1406\u20131416, May 2015","key":"5_CR21","DOI":"10.1145\/2736277.2741656"},{"doi-asserted-by":"publisher","unstructured":"Recommendation: Int. J. Comput. Appl. Technol. Res. 7(6), 215\u2013220 (2018). https:\/\/doi.org\/10.7753\/ijcatr0706.1003","key":"5_CR22","DOI":"10.7753\/ijcatr0706.1003"},{"unstructured":"Florentina, M.: Web data extraction with robot process automation, p. 1. Annals of \u2018Constantin Brancusi\u2019 University of Targu-Jiu. Engineering Series, Study On Linkedin Web Scraping Using Uipath Studio (2020)","key":"5_CR23"},{"doi-asserted-by":"crossref","unstructured":"Wei, J., Zou, K.: Eda: easy data augmentation techniques for boosting performance on text classification tasks. arXiv preprint arXiv:1901.11196 (2019)","key":"5_CR24","DOI":"10.18653\/v1\/D19-1670"},{"doi-asserted-by":"crossref","unstructured":"Boukari, S., Fayech, S., Faiz, R.: Huntalent: a candidates recommendation system for automatic recruitment via LinkedIn. In: 2020 Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS), pp. 1\u20137. IEEE (2020)","key":"5_CR25","DOI":"10.1109\/SNAMS52053.2020.9336532"},{"doi-asserted-by":"crossref","unstructured":"Reimers, N., Gurevych, I. : Sentence-BERT: sentence embeddings using Siamese BERT-networks. arXiv preprint arXiv:1908.10084 (2019)","key":"5_CR26","DOI":"10.18653\/v1\/D19-1410"},{"doi-asserted-by":"crossref","unstructured":"Zheng, J., Zhao, J., Li, J., et al.: Spark-based platform for neurophysiological data storage and processing: a proof of concept. In: 2021 6th International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS), pp. 16\u201319. IEEE (2021)","key":"5_CR27","DOI":"10.1109\/ICIIBMS52876.2021.9651646"}],"container-title":["Communications in Computer and Information Science","Advances in Computational Collective Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-16210-7_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,9]],"date-time":"2023-03-09T12:15:56Z","timestamp":1678364156000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-16210-7_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031162091","9783031162107"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-16210-7_5","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"21 September 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}