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Found 6 papers, 0 papers with code
A Unified Knowledge-Distillation and Semi-Supervised Learning Framework to Improve Industrial Ads Delivery Systems
Industrial ads ranking systems conventionally rely on labeled impression data, which leads to challenges such as overfitting, slower incremental gain from model scaling, and biases due to discrepancies between training and serving data.
Personalized Interpolation: An Efficient Method to Tame Flexible Optimization Window Estimation
In the realm of online advertising, optimizing conversions is crucial for delivering relevant products to users and enhancing business outcomes.
Preference Discerning with LLM-Enhanced Generative Retrieval
We assess current state-of-the-art methods using our benchmark and show that they struggle to accurately discern user preferences.
Unifying Generative and Dense Retrieval for Sequential Recommendation
This hybrid approach provides insights into the trade-offs between these approaches and demonstrates improvements in efficiency and effectiveness for recommendation systems in small-scale benchmarks.
TIES: Temporal Interaction Embeddings For Enhancing Social Media Integrity At Facebook
Since its inception, Facebook has become an integral part of the online social community.
A Novel Stochastic Decoding of LDPC Codes with Quantitative Guarantees
More specifically, we provide upper-bounds on the first and second moments of the error, illustrating that the proposed algorithm is an asymptotically consistent estimate of the sum-product algorithm.
