A Systematic Benchmark of Explainable Methods for Temporal Attribution in Sequential Recommendation Systems
Sequential RecSys are central to modern personalization, exploiting user's historical interaction sequences to drive next-step decisions. Deep learning models, particularly CNN and Transformer-based architectures, have proven highly effective at capturing temporal dependencies in these histories. For transparency and t...
Akash Pandey, Kanisha Shah, Addrish Roy et al.
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