诗集 发表于 2025-3-26 23:57:37
Top-N Collaborative Filtering Recommendation Algorithm Based on Knowledge Graph Embedding the item itself, resulting in a problem that the recommendation accuracy is not high. This paper proposes a Top-N collaborative filtering recommendation algorithm based on knowledge graph embedding. The knowledge graph embedding is used to learn a low-dimensional vector for each entity and relation迎合 发表于 2025-3-27 01:28:06
Talents Evaluation Modeling Based on Fuzzy Mathematics it transforms qualitative evaluation into quantitative evaluation, and has been widely applied in many fields. In order to make the recruitment process of HRM (Human Resource Management) more systematic and rational, this paper introduces a method to evaluate talents by applying fuzzy synthetic eva辫子带来帮助 发表于 2025-3-27 08:26:14
Understanding Consumers’ Continuance Intention Toward Self-service Stores: An Integrated Model of thal services are gradually being replaced. Self-service businesses are emerging one after the other, including self-service laundries, gas stations, car washes, ticketing machines, and even self-service stores. This is not merely a new trend, but a revolution in traditional consumption patterns and sEvolve 发表于 2025-3-27 12:40:20
Public Innovation: Concept and Future Research Agendach designates a collection of approaches for exploring, testing and validating new ideas that create added value for society. Despite its relevance, studies are still needed to go further in analyzing the literature built on the subject, and to identify new research agendas that can generate inputsACME 发表于 2025-3-27 14:02:32
http://reply.papertrans.cn/55/5440/543996/543996_35.pngCORE 发表于 2025-3-27 19:00:21
http://reply.papertrans.cn/55/5440/543996/543996_36.png同步左右 发表于 2025-3-28 01:32:12
http://reply.papertrans.cn/55/5440/543996/543996_37.png亲密 发表于 2025-3-28 03:27:23
http://reply.papertrans.cn/55/5440/543996/543996_38.png不再流行 发表于 2025-3-28 10:12:19
http://reply.papertrans.cn/55/5440/543996/543996_39.png混杂人 发表于 2025-3-28 12:42:49
Efficient Estimation of Ontology Entities Distributed Representationsntations for ontology entities based on the semantic embedded in ontologies, using a multi-input feed-forward neural network trained using noise contrastive estimation technique. Semantically similar ontology entities will have relatively close corresponding representations in the projection space.