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Hancock, Kristy. « Machine-learning Recommender Systems Can Inform Collection Development Decisions / Xiao, J., & Gao, W. (2020). Connecting the dots: Reader ratings, bibliographic data, and machine-learning algorithms for monograph selection. The Serials Librarian, 78(1-4), 117-122. https://doi.org/10.1080/0361526X.2020.1707599. » Evidence Based Library and Information Practice, volume 19, numéro 2, 2024, p. 133–135. https://doi.org/10.18438/eblip30521
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Hancock, K. (2024). Compte rendu de [Machine-learning Recommender Systems Can Inform Collection Development Decisions / Xiao, J., & Gao, W. (2020). Connecting the dots: Reader ratings, bibliographic data, and machine-learning algorithms for monograph selection. The Serials Librarian, 78(1-4), 117-122. https://doi.org/10.1080/0361526X.2020.1707599]. Evidence Based Library and Information Practice, 19(2), 133–135. https://doi.org/10.18438/eblip30521
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Hancock, Kristy « Machine-learning Recommender Systems Can Inform Collection Development Decisions / Xiao, J., & Gao, W. (2020). Connecting the dots: Reader ratings, bibliographic data, and machine-learning algorithms for monograph selection. The Serials Librarian, 78(1-4), 117-122. https://doi.org/10.1080/0361526X.2020.1707599 ». Evidence Based Library and Information Practice 19, no 2 (2024) : 133–135. https://doi.org/10.18438/eblip30521
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