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Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning [PDF]
The Web Conference, 2022 Recently, graph collaborative filtering methods have been proposed as an effective recommendation approach, which can capture users’ preference over items by modeling the user-item interaction graphs.
Zihan Lin +3 more
semanticscholar +1 more source
Collaborative Unmanned Vehicles for Inspection, Maintenance, and Repairs of Offshore Wind Turbines
Drones, 2022 Operations and maintenance of Offshore Wind Turbines (OWTs) are challenging, with manual operators constantly exposed to hazardous environments. Due to the high task complexity associated with the OWT, the transition to unmanned solutions remains ...
Mohd Hisham Nordin +5 more
doaj +1 more source
Education Sciences, 2023 In higher education (HE), collaborative activities that revolve around a core idea, practice, or knowledge base, such as learning circles, communities of practice or inquiry, peer observation, and peer-assisted teaching, are known to support professional
Jennifer Scott +7 more
doaj +1 more source
DETRs with Collaborative Hybrid Assignments Training [PDF]
IEEE International Conference on Computer Vision, 2022 In this paper, we provide the observation that too few queries assigned as positive samples in DETR with one-to-one set matching leads to sparse supervision on the encoder’s output which considerably hurt the discriminative feature learning of the ...
Zhuofan Zong, Guanglu Song, Yu Liu
semanticscholar +1 more source
Neural Collaborative Filtering [PDF]
The Web Conference, 2017 In recent years, deep neural networks have yielded immense success on speech recognition, computer vision and natural language processing. However, the exploration of deep neural networks on recommender systems has received relatively less scrutiny.
Xiangnan He +5 more
semanticscholar +1 more source
Neural Graph Collaborative Filtering [PDF]
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019 Learning vector representations (aka. embeddings) of users and items lies at the core of modern recommender systems. Ranging from early matrix factorization to recently emerged deep learning based methods, existing efforts typically obtain a user's (or ...
Xiang Wang +4 more
semanticscholar +1 more source
V2X-Sim: Multi-Agent Collaborative Perception Dataset and Benchmark for Autonomous Driving [PDF]
IEEE Robotics and Automation Letters, 2022 Vehicle-to-everything (V2X) communication techniques enable the collaboration between vehicles and many other entities in the neighboring environment, which could fundamentally improve the perception system for autonomous driving.
Yiming Li +6 more
semanticscholar +1 more source
Hypergraph Contrastive Collaborative Filtering [PDF]
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022 Collaborative Filtering (CF) has emerged as fundamental paradigms for parameterizing users and items into latent representation space, with their correlative patterns from interaction data.
Lianghao Xia +5 more
semanticscholar +1 more source
Collaborative management: a sustainable natural tourism development model
Jurnal Pariwisata Pesona, 2022 In the development of natural tourism areas in the Sirah Kencong Tourism Area, the regional government of Blitar Regency, East Java Province has made various efforts and efforts. However, this effort still has some obstacles in its implementation.
Fitria Earlike Anwar Sani +1 more
doaj +1 more source
Children, 2020 Extensive neonatal resuscitation is a high acuity, low-frequency event accounting for approximately 1% of births. Neonatal resuscitation requires an interprofessional healthcare team to communicate and carry out tasks efficiently and effectively in a ...
Mary Eckels +8 more
doaj +1 more source