{"author":[{"id":"232004","first_name":"Marvin","orcid":"0009-0008-8581-2708","last_name":"Niederhaus","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0008-8581-2708/work/194508828","full_name":"Niederhaus, Marvin"},{"first_name":"Nico","last_name":"Migenda","orcid":"0000-0002-7223-1735","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-7223-1735/work/194483982","full_name":"Migenda, Nico","id":"218473"},{"full_name":"Weller, Julian","first_name":"Julian","last_name":"Weller"},{"id":"226669","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0002-9374-0720/work/194483983","full_name":"Kohlhase, Martin","first_name":"Martin","orcid":"0009-0002-9374-0720","last_name":"Kohlhase"},{"id":"224375","last_name":"Schenck","orcid":"0000-0003-3300-2048","first_name":"Wolfram","full_name":"Schenck, Wolfram","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-3300-2048/work/194483984"}],"publication_identifier":{"eissn":["2504-2289"]},"date_updated":"2026-06-01T15:15:50Z","urn":"urn:nbn:de:hbz:bi10-62444","volume":9,"doi":"10.3390/bdcc9100261","type":"journal_article","file":[{"date_created":"2025-10-17T07:11:25Z","access_level":"open_access","creator":"mniederhaus","date_updated":"2025-10-17T07:11:25Z","success":1,"file_size":13995224,"file_id":"6245","content_type":"application/pdf","relation":"main_file","file_name":"BDCC-09-00261.pdf"}],"department":[{"_id":"103"}],"main_file_link":[{"open_access":"1","url":"https://www.mdpi.com/2504-2289/9/10/261/pdf"}],"intvolume":"         9","_id":"6244","citation":{"ama":"Niederhaus M, Migenda N, Weller J, Kohlhase M, Schenck W. Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems. <i>Big Data and Cognitive Computing</i>. 2025;9(10). doi:<a href=\"https://doi.org/10.3390/bdcc9100261\">10.3390/bdcc9100261</a>","bibtex":"@article{Niederhaus_Migenda_Weller_Kohlhase_Schenck_2025, title={Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems}, volume={9}, DOI={<a href=\"https://doi.org/10.3390/bdcc9100261\">10.3390/bdcc9100261</a>}, number={10261}, journal={Big Data and Cognitive Computing}, publisher={MDPI AG}, author={Niederhaus, Marvin and Migenda, Nico and Weller, Julian and Kohlhase, Martin and Schenck, Wolfram}, year={2025} }","short":"M. Niederhaus, N. Migenda, J. Weller, M. Kohlhase, W. Schenck, Big Data and Cognitive Computing 9 (2025).","ieee":"M. Niederhaus, N. Migenda, J. Weller, M. Kohlhase, and W. Schenck, “Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems,” <i>Big Data and Cognitive Computing</i>, vol. 9, no. 10, 2025.","mla":"Niederhaus, Marvin, et al. “Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems.” <i>Big Data and Cognitive Computing</i>, vol. 9, no. 10, 261, MDPI AG, 2025, doi:<a href=\"https://doi.org/10.3390/bdcc9100261\">10.3390/bdcc9100261</a>.","alphadin":"<span style=\"font-variant:small-caps;\">Niederhaus, Marvin</span> ; <span style=\"font-variant:small-caps;\">Migenda, Nico</span> ; <span style=\"font-variant:small-caps;\">Weller, Julian</span> ; <span style=\"font-variant:small-caps;\">Kohlhase, Martin</span> ; <span style=\"font-variant:small-caps;\">Schenck, Wolfram</span>: Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems. In: <i>Big Data and Cognitive Computing</i> Bd. 9, MDPI AG (2025), Nr. 10","chicago":"Niederhaus, Marvin, Nico Migenda, Julian Weller, Martin Kohlhase, and Wolfram Schenck. “Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems.” <i>Big Data and Cognitive Computing</i> 9, no. 10 (2025). <a href=\"https://doi.org/10.3390/bdcc9100261\">https://doi.org/10.3390/bdcc9100261</a>.","apa":"Niederhaus, M., Migenda, N., Weller, J., Kohlhase, M., &#38; Schenck, W. (2025). Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems. <i>Big Data and Cognitive Computing</i>, <i>9</i>(10). <a href=\"https://doi.org/10.3390/bdcc9100261\">https://doi.org/10.3390/bdcc9100261</a>"},"user_id":"226669","language":[{"iso":"eng"}],"publication":"Big Data and Cognitive Computing","status":"public","publication_status":"published","date_created":"2025-10-17T07:19:59Z","file_date_updated":"2025-10-17T07:11:25Z","oa":"1","title":"Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems","project":[{"_id":"beb248c8-cd75-11ed-b77c-e432b4711f7b","name":"Institut für Systemdynamik und Mechatronik"},{"name":"Institute for Data Science Solutions","_id":"f432a2ee-bceb-11ed-a251-a83585c5074d"}],"quality_controlled":"1","keyword":["prescriptive analytics","prescriptive platforms","advanced data analytics","retrieval-augmented generation","graph-based retrieval-augmented generation","large language models","generative AI","genAI","recommender system"],"funded_apc":"1","issue":"10","has_accepted_license":"1","publisher":"MDPI AG","year":"2025","article_type":"original","article_number":"261"}