Podrobná bibliografie
| Název: |
代理模型和Kalman滤波偏差估计增强的个性化差分进化算法. (Chinese) |
| Alternate Title: |
Personalized differential evolutionary algorithm enhanced by surrogate nodel and Kalman filter deviation estimation. (English) |
| Autoři: |
孙晓燕, 李 帅, 金耀初 |
| Zdroj: |
Control Theory & Applications / Kongzhi Lilun Yu Yinyong; Nov2025, Vol. 42 Issue 11, p2386-2396, 11p |
| Témata: |
DIFFERENTIAL evolution, RECOMMENDER systems, OPERATIONS research, KALMAN filtering, STATISTICAL models, DEVIATION (Statistics), ALGORITHMS |
| Korporace: |
AMAZON.COM Inc. |
| Abstract (English): |
User interaction-based evolutionary optimization can effectively improve the performance of personalized recommendation. However, existing studies have overlooked the deviation between the encoded individuals and the decoded candidates, often resulting in a significant deviation in the search direction and low search efficiency. Moreover, the quantitative representation of user interaction evaluation is also a major challenge. To address this, this paper proposes a personalized differential evolution algorithm that integrates Kalman filter deviation estimation and surrogate models. Firstly, a deep belief network trained with user evaluation and product attributes is constructed to achieve quantitative evaluation of user interactions. Then, a Kalman filter estimator is designed to track the deviation between genotypes and phenotypes during the evolution process, and a differential evolution operator is designed based on this deviation to change the population distribution and guide the search direction. Finally, this algorithm is applied to the Amazon personalized search dataset to verify its effectiveness. [ABSTRACT FROM AUTHOR] |
| Abstract (Chinese): |
基于用户交互的进化优化算法可有效提高个性化推荐的性能, 但已有研究忽略了编码个体与解码样本间 的偏差, 往往导致算法搜索方向出现较大偏离, 搜索效率低; 此外, 用户交互评价的定量化表示也是较大挑战. 针对 此, 本文提出了融合 Kalman 滤波偏差估计和代理模型的个性化差分进化算法. 首先, 构建了基于用户评价、商品属 性等的深度信念网络代理模型, 实现对用户交互的定量评价; 然后, 设计 Kalman 滤波偏差估计器, 跟踪进化过程中 基因型和表现型之间的偏差, 并基于该偏差设计差分进化算子, 改变种群分布并引导搜索方向; 最后, 将该算法应用 于亚马逊个性化搜索数据集, 验证了其有效性. [ABSTRACT FROM AUTHOR] |
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| Databáze: |
Complementary Index |
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