Adding sentence embeddings of item descriptions to TLSAN's long- and short-term attention layers is reported to improve next-item recommendation metrics on Amazon datasets, though the evidence is not fully reproducible.
An empirical explo- ration of recurrent network architectures
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C-TLSAN: Content-Enhanced Time-Aware Long- and Short-Term Attention Network for Personalized Recommendation
Adding sentence embeddings of item descriptions to TLSAN's long- and short-term attention layers is reported to improve next-item recommendation metrics on Amazon datasets, though the evidence is not fully reproducible.