Titlebook: Web Engineering; 24th International C Kostas Stefanidis,Kari Systä,Elisa Quintarelli Conference proceedings 2024 The Editor(s) (if applicab

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书目名称Web Engineering影响因子(影响力)




书目名称Web Engineering影响因子(影响力)学科排名




书目名称Web Engineering网络公开度




书目名称Web Engineering网络公开度学科排名




书目名称Web Engineering被引频次




书目名称Web Engineering被引频次学科排名




书目名称Web Engineering年度引用




书目名称Web Engineering年度引用学科排名




书目名称Web Engineering读者反馈




书目名称Web Engineering读者反馈学科排名

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Inclusive Counterfactual Generation: Leveraging LLMs in Identifying Online Hate chief component within the existing counterfactual data augmentation pipeline, however, involves manually flipping labels and making minimal content edits to training data. In a hate speech context, these forms of editing have been shown to still retain offensive hate speech content. Inspired by th

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Decentralized Search over Personal Online Datastores: Architecture and Performance Evaluation where individuals can control access to their data. Solid allows developers to deploy applications with access to data stored in pods, subject to users’ permission. For the decentralised Web to succeed, the problem of search over pods with varying access permissions must be solved. The ESPRESSO fra

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AutoMaster: Differentiable Graph Neural Network Architecture Search for Collaborative Filtering Recoms (RSs). In recent years, there has been a heated debate on whether the non-linear propagation mechanism in Graph Convolutional Networks (GCNs) is suitable for CF tasks, and the performance of linear propagation is believed to be superior to non-linear propagation mainly in the field of RSs. Theref

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A Multi-model Recurrent Knowledge Graph Embedding for Contextual Recommendationsy to incorporate this kind of assorted data. This paper introduces a context-aware recommender, based on deriving graph embeddings by learning the representations of appropriate meta-paths mined from a graph database. Our system uses several LSTMs to model the meta-path semantics between a user-item