In this paper, we present our initiative of building a context-aware citation recommendation system. High quality citation recommendation is challenging: not only should the citations recommended be relevant to the paper under composition, but also should match the local contexts of the places ...
Giles, "A Supervised Learning Method for Context-Aware Citation Recommendation in a Large Corpus," in Proceedings of the Large-Scale and Disributed Systems for Information Retrieval Workshop (LSDS-IR), 2013, pp. 17-22.L. Rokach, P. Mitra, S. Kataria, W. Huang, and L. Giles, "A ...
Paper tables with annotated results for A Context-Aware Citation Recommendation Model with BERT and Graph Convolutional Networks
Context-aware citation recommendation aims to automatically predict suitable citations for a given citation context, which is essentially helpful for researchers when writing scientific papers. In existing neural network-based approaches, overcorrelation in the weight matrix influences semantic similarity, whi...
Citation recommendation aims to help authors in selecting the most relevant papers to cite from a potentially overwhelming number of references. In this pa... Rokach,Mitra,Kataria 被引量: 22发表: 2013年 Context-Aware Scenarios for Pervasive Long-Life Learning In the p-LearNet project, we are ...
The rapid growth of scientific publications brings the problem of finding appropriate citations for authors. Context-aware citation recommendation is an essential technology to overcome this obstacle when given a fragment of manuscript. In this article, we propose a novel neural network model for cont...
In this way, different recommender techniques can be used in parallel, either separately or combined, with or without incorporating contextual information, which makes it a framework for context-aware, hybrid recommendation generation. 展开 被引量: 3 ...
- 2010 () Citation Context ...d to be addressed. First, we need to add a cross-layer awareness to each node, so that each node could know the ... MC Castro,I Korpeoglu,M Castro 被引量: 54发表: 2010年 A framework of context-awareness support for peer recommendation in the e-...
Towards latent context-aware recommendation systems 2016, Knowledge-Based Systems Citation Excerpt : Latent context attributes in our study are obtained by applying unsupervised learning techniques on raw sensor data. Deep learning is an emerging area of machine learning that has recently revolutionized ma...
The Context-Aware Crowdsourced Task Optimizer bundles multiple tasks for recommendation to individual workers to both maximize an expected number of completed tasks and to dynamically price tasks to maximize an overall utility that is a function of both task values and task completion rates. ...