DataFunTalk
Aug 30, 2019 · Artificial Intelligence
TransFM: Integrating Translation-based Recommendation and Factorization Machines for Sequential Recommendation
This article reviews the TransFM model, which combines the translation‑based sequential recommendation approach (TransRec) with factorization machines (FM), explains its formulation, optimization via sequential Bayesian personalized ranking, and demonstrates its superior performance on Amazon and Google Local datasets compared with several baselines.
EvaluationFactorization Machinesmachine learning
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