GROVE 发表于 2025-3-28 16:01:20

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CREEK 发表于 2025-3-28 21:18:09

Self-Negating Policies and Polities,tems embeddings are divided into common and private. The common embeddings are shared by all users, and we train a meta-network to generate private embeddings for each user. The mapping stage learns to transfer user embeddings from source domain to target domain. In order to alleviate the negative i

modest 发表于 2025-3-29 01:37:37

https://doi.org/10.1007/978-3-031-13650-4s the task scheduling scheme in detail, including its architecture, metadata and data management, context-aware scheduling algorithm, and task offloading. We evaluate the feasibility and effectiveness of the proposed approach on a dataset of taxi trajectories in a city. The results illustrate that t

使绝缘 发表于 2025-3-29 03:29:17

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Culmination 发表于 2025-3-29 07:48:21

Introducing the Subject to Women,roach, shorts for EBA. It firstly employs a network flow-based heuristic to find a feasible initial solution quickly. Then, an adaptive large neighborhood search-based method is utilized to perform iterative optimization, which contains hill climbing and simulated annealing mechanisms. Therefore, th

模范 发表于 2025-3-29 13:16:48

A Negative Sampling-Based Service Recommendation Methodstrategy through the pooling operation; then, the samples are used in GNN-based recommender systems to obtain more accurate user and service embedding representations; next, calculate the inner product score embedded by the user and the service, and recommend high inner product score services to use

母猪 发表于 2025-3-29 16:33:25

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提名 发表于 2025-3-29 21:58:40

Expertise-Oriented Explainable Question Routinged vote scores respectively. Furthermore, based on the representations of expert and target question, a multi-task learning model is adopted to predict the most suitable expert and his/her potential vote score, which could provide the intuitive explanation that why routes the question to the expert.

AWL 发表于 2025-3-30 03:55:46

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Chipmunk 发表于 2025-3-30 06:41:49

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查看完整版本: Titlebook: Collaborative Computing: Networking, Applications and Worksharing; 18th EAI Internation Honghao Gao,Xinheng Wang,Tasos Dagiuklas Conference