Sequential recommendation predicts the next item from a user's interaction history, but not every interaction is equally informative. Real logs combine persistent preferences with temporary needs, exploration, and incidental behavior, so some interactions can distort history representations or provide unreliable superv...
Zichun Jin, Zihan Zhou, Yinan Liu et al.· 0 citations
MACE is presented, a Multi-Agent Candidate Event acquisition method that refines event structure before linking and improves event linking through better candidate event acquisition without modifying the event linking model.
Zi-Yang Zhang, Yinan Liu, Bo-Yi Xue et al.· 0 citations
CoSC is proposed, which combines discrete structural coding with similar entity information to generate an initial candidate entity ranking from discrete structural codes, after which information from entities with structures similar to that of the query entity refines the ranking.
Jia-Qi Wang, Dongying Lin, Yang Yang et al.· 0 citations
Joint optimization of pricing, dispatching, and routing is critical for hub-based mobility services but challenging due to complex decision couplings and strict service guarantees, such as Order Response Rate (ORR). Conventional constrained reinforcement learning often struggles in this mixed continuous--combinatorial...
Pengfei Du, Yucen Gao, Bing Wang et al.· Proceedings of the Thirty-Fi...· 0 citations
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