A multi-valued and sequential-labeled decision tree method for recommending sequential patterns in cold-start situations

Research article (Applied Intelligence, 2020) · cited 13× · AI/ML
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A multi-valued and sequential-labeled decision tree method for recommending sequential patterns in cold-start situations

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A multi-valued and sequential-labeled decision tree method for recommending sequential patterns in cold-start situations is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A multi-valued and sequential-labeled decision tree method for recommending sequential patterns in cold-start situations. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-multi-valued-and-sequential-labeled-decision-tree-method-for-recommending-sequential-patterns-in-cold-start-situations
MLA “A multi-valued and sequential-labeled decision tree method for recommending sequential patterns in cold-start situations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-multi-valued-and-sequential-labeled-decision-tree-method-for-recommending-sequential-patterns-in-cold-start-situations.
BibTeX @misc{4ortxyz_a-multi-valued-and-sequential-labeled-decision-tree-method-for-recommending-sequential-patterns-in-cold-start-situations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A multi-valued and sequential-labeled decision tree method for recommending sequential patterns in cold-start situations}}, year = {2026}, url = {https://4ort.xyz/entity/a-multi-valued-and-sequential-labeled-decision-tree-method-for-recommending-sequential-patterns-in-cold-start-situations}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A multi-valued and sequential-labeled decision tree method for recommending sequential patterns in cold-start situations — https://4ort.xyz/entity/a-multi-valued-and-sequential-labeled-decision-tree-method-for-recommending-sequential-patterns-in-cold-start-situations (retrieved 2026-05-24)

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