الملخص
Long-history recommenders often compress each user's history into a compact, candidate-independent memory that is cached and reused to score large candidate pools. We show that real user histories exhibit multi-scale semantic structure, with short-lived intent, medium-term interests, and long-term preferences coexisting in one sequence, and that monolithic cached memories preserve these scales unevenly: linear probes recover recent and mid-range content far worse than long-range content. We call this failure mode \textit{temporal aliasing}. We propose \textbf{MARS}, a multi-resolution user memory that writes the full history into recurrent state tracks anchored to different half-lives, and a sparse routing reader that materializes compact seed memories by selecting the relevant temporal resolutions for each seed, preserving fixed-size candidate scoring. MARS outperforms strong baselines on three public datasets, with gains that grow with history length. Component-matched ablations with paired tests show that temporal diversity and selective routing each contribute beyond what hard-window memories or added capacity provide. The advantage of MARS over its interface-matched baseline also widens after within-user behavioral shifts, at about $1.02\times$ that baseline's warm-cache serving latency for $1{,}000$ candidates per user.
الكلمات المفتاحية
الموضوع
بيانات النشر
- المجلة
- غير متاح
- وصول مفتوح
- وصول مفتوح أخضر
اقتبس هذه المقالة
APA 7
Yin, M., Dong, S., Liu, Y., Yang, W. Y., Jiang, Y., & Chen, Y. (2026). MARS: Multi-resolution Adaptive Routing for Sequential Recommendation. https://omanscience.com/ar/articles/mars-multi-resolution-adaptive-routing-for-sequential-recommendation
MLA 9
Yin, Ming, et al. "MARS: Multi-resolution Adaptive Routing for Sequential Recommendation." https://omanscience.com/ar/articles/mars-multi-resolution-adaptive-routing-for-sequential-recommendation.
شيكاغو (المؤلف–التاريخ)
Yin, Ming, Sixun Dong, Yudong Liu, Wen-Yun Yang, Yunjiang Jiang, and Yiran Chen. 2026. "MARS: Multi-resolution Adaptive Routing for Sequential Recommendation." https://omanscience.com/ar/articles/mars-multi-resolution-adaptive-routing-for-sequential-recommendation.
هارفارد
Yin, M., Dong, S., Liu, Y., Yang, W. Y., Jiang, Y. and Chen, Y. (2026) 'MARS: Multi-resolution Adaptive Routing for Sequential Recommendation', Available at: https://omanscience.com/ar/articles/mars-multi-resolution-adaptive-routing-for-sequential-recommendation.
فانكوفر
Yin M, Dong S, Liu Y, Yang WY, Jiang Y, Chen Y. MARS: Multi-resolution Adaptive Routing for Sequential Recommendation. https://omanscience.com/ar/articles/mars-multi-resolution-adaptive-routing-for-sequential-recommendation
IEEE
M. Yin, S. Dong, Y. Liu, W. Y. Yang, Y. Jiang, and Y. Chen, "MARS: Multi-resolution Adaptive Routing for Sequential Recommendation," https://omanscience.com/ar/articles/mars-multi-resolution-adaptive-routing-for-sequential-recommendation.