Shopping Companion: A Memory-Augmented LLM Agent for Real-World E-Commerce Tasks 事件

Shopping Companion: A Memory-Augmented LLM Agent for Real-World E-Commerce Tasks arXiv:2603.14864v2 Announce Type: replace Abstract: In e-commerce, LLM agents show promise for shopping tasks such as recommendations, budget management, and bundle deals, where accurately capturing user preferences from long-horizon conversations is critical. However, progress is limited by two key challenges: (1) the absence of benchmarks for evaluating long-term preference-aware shopping tasks, and (2) the lack