4.7 Article

Decision Tree for Sequences

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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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Summary: The research team plans to recommend suitable single-itemed sequences to cold-start users based on personalized sequential patterns, developing a representative sequential pattern and proposing an auxiliary algorithm to mine it, trained on a sample set from non-cold users. They have also developed a novel algorithm, MSDT, to handle multi-valued and sequential-labeled data, outperforming baseline multi-label algorithms in accuracy.

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