Lib-SibGMU -- A University Library Circulation Dataset for Recommender Systems Developmen

• URL: http://arxiv.org/abs/2208.12356v2
• Date: Fri, 11 Aug 2023 16:15:52 GMT
• Title: Lib-SibGMU -- A University Library Circulation Dataset for Recommender Systems Developmen
• Authors: Eduard Zubchuk, Mikhail Arhipkin, Dmitry Menshikov, Aleksandr Karaush, Nikolay Mikhaylovskiy
• Abstract summary: We opensource Lib-SibGMU - a university library circulation dataset. For a recommender architecture that consists of a vectorizer that turns the history of the books borrowed into a vector, we show that using the fastText model as a vectorizer delivers competitive results.
• Score: 58.720142291102135
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We opensource under CC BY 4.0 license Lib-SibGMU - a university library circulation dataset - for a wide research community, and benchmark major algorithms for recommender systems on this dataset. For a recommender architecture that consists of a vectorizer that turns the history of the books borrowed into a vector, and a neighborhood-based recommender, trained separately, we show that using the fastText model as a vectorizer delivers competitive results.

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