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Although it needs more research, preliminary conclusions can be made, that BERT4Rec is a very flexible model, that not only achieves good results on the benchmark datasets, but also robust enough to perform well on more diverse data.
Aug 31, 2023
Performance and Reproducibility of BERT4Rec - ResearchGate
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Sequential Recommendation with Bidirectional Encoder Representations from Transformer, BERT4Rec, is an efficient and effective model for sequential ...
Jul 15, 2022 · In this paper we systematically review all publications that compare BERT4Rec with another popular Transformer-based model, namely SASRec, and ...
Missing: Performance | Show results with:Performance
Jul 15, 2022 · BERT4Rec and SASRec may be different, which indicates poor replicability of BERT4Rec results. Hypothesis H1 addresses a general question if ...
Sequential Recommendation with Bidirectional Encoder Representations from Transformer, BERT4Rec, is an efficient and effective model for sequential.
Aug 30, 2023 · Overall findings suggest that while using a proper implementation, BERT4Rec can still be called a state-of-the-art solution, additional work is ...
Overall, from our systematic review and detailed experiments, we conclude that BERT4Rec does indeed exhibit state-of-the-art effectiveness for sequential ...
We conclude that BERT4Rec does indeed exhibit state-of-the-art effectiveness for sequential recommendation, but only when trained for a sufficient amount of ...
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What is the consistency and reproducibility of a given result?
What is the difference between BERT4Rec and SASRec?
How does BERT4Rec work?
This is a joint code repository for two papers published at 16th ACM Conference on Recommender Systems (Seattle, WA, USA, 18th-23rd September 2022)
Missing: Performance | Show results with:Performance
A systematic review and detailed experiments conclude that BERT4Rec does indeed exhibit state-of-the-art effectiveness for sequential recommendation.