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Found 2 papers, 0 papers with code
STEC: See-Through Transformer-based Encoder for CTR Prediction
Most CTR prediction models have relied on a single fusion and interaction learning strategy.
Ranked #1 on
Click-Through Rate Prediction
on MovieLens 1M
MMBAttn: Max-Mean and Bit-wise Attention for CTR Prediction
In this paper, we propose an attention-based approach that leverages max and mean pooling operations, along with a bit-wise attention mechanism, to enhance feature importance estimation in CTR prediction.
Ranked #2 on
Click-Through Rate Prediction
on Frappe
