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Articles

[2506.11421] Deep Learning Model Acceleration and Optimization Strategies for Real-Time Recommendation Systems

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By Jing Dong, Kowei Shih, Dingzhou Wang, Dannier Li
| arxiv.org
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Adversarial Prompt Optimization in LLMs: HijackNet's Approach to Robustness and Defense Evasion

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By Kowei Shih, Jinghan Cao, Siye Wu, Yihong Jin
| preprints.org
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Recommendation System in Advertising and Streaming Media: Unsupervised Data Enhancement Sequence Suggestions

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By Kowei Shih, Yi Han
| preprints.org
You are already at the latest version Sequential recommendation is an extensively explored approach to capturing users’ evolving preferences based on past interactions, aimed at predicting their next likely choice. Despite significant advancements in this domain, including methods based on RNNs and self-attention, challenges like limited supervised signals and noisy data caused by unintentional clicks persist.
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