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This work introduces a stream-based data generator designed to generate user preferences for a set of items while accommodating progressive changes in user preferences. The underlying principle involves using user\/item embeddings to derive preferences by exploring the proximity of these embeddings. Whether randomly generated or learned from a real finite data stream, these embeddings serve as the basis for generating new preferences. We investigate how this fundamental model can adapt to shifts in user behavior over time; in our framework, changes correspond to alterations in the structure of the tripartite graph, reflecting modifications in the underlying embeddings. Through an analysis of real-life data streams, we demonstrate that the proposed model is effective in capturing actual preferences and the changes that they can exhibit over time. Thus, we characterize these changes and develop a generalized method capable of simulating realistic data, thereby generating streams with similar yet controllable drift dynamics.<\/jats:p>","DOI":"10.1145\/3707693","type":"journal-article","created":{"date-parts":[[2024,12,9]],"date-time":"2024-12-09T10:57:07Z","timestamp":1733741827000},"page":"1-28","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Modelling Concept Drift in Dynamic Data Streams for Recommender Systems"],"prefix":"10.1145","volume":"3","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0173-0131","authenticated-orcid":false,"given":"Luciano","family":"Caroprese","sequence":"first","affiliation":[{"name":"University Gabriele d'Annunzio of Chieti and Pescara, Department of Engineering and Geosciences, Pescara, Italy and ICAR-CNR, Rende, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2922-0835","authenticated-orcid":false,"given":"Francesco Sergio","family":"Pisani","sequence":"additional","affiliation":[{"name":"ICAR-CNR, Rende, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7980-0972","authenticated-orcid":false,"given":"Bruno Miguel","family":"Veloso","sequence":"additional","affiliation":[{"name":"Universidade Portucalense, Porto, Portugal and INESC TEC, Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-4900-9735","authenticated-orcid":false,"given":"Matthias","family":"Konig","sequence":"additional","affiliation":[{"name":"Leiden University, Leiden, Netherlands"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9672-3833","authenticated-orcid":false,"given":"Giuseppe","family":"Manco","sequence":"additional","affiliation":[{"name":"ICAR-CNR, Rende, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0629-0099","authenticated-orcid":false,"given":"Holger","family":"Hoos","sequence":"additional","affiliation":[{"name":"Leiden University, Leiden Netherlands and The University of British Columbia, Vancouver, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3357-1195","authenticated-orcid":false,"given":"Joao","family":"Gama","sequence":"additional","affiliation":[{"name":"Universidade Portucalense, Porto, Portugal and INESC TEC, Porto, Portugal"}]}],"member":"320","published-online":{"date-parts":[[2025,3,4]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-319-29659-3","volume-title":"Recommender Systems","author":"Aggarwal Charu C.","year":"2016","unstructured":"Charu C. 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