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...
A Supervised Learning Method for Context-Aware Citation Recommendation in a Large Corpus 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...
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 conte...
inventory logixtics systems (Rails): A heuristic model for optimally managing intermodal double-stack trains - Chih, Bodden - 1990 () Citation Context ... K Chih,M. Bodden,M. Hornung,... - 《Journal of the Transportation Research Forum》 被引量: 17发表: 1990年 Some comments on surface...
The 1st Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL) builds upon the tradition of a series of workshops on Social Information Retrieval for Technology Enhanced Learning (SIRTEL), Context-Aware Recommendation ... Nikos,Manouselis,and,... - 《Procedia Computer Science...
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...
7.Zhiwen Yu, Xingshe Zhou, Yanbin Hao, and Jianhua Gu,TV Program Recommendation for Multiple Viewers Based on User Profile Merging,User Modeling and User-Adapted Interaction (UMUAI), Springer Press, Vol. 16, No. 1, March 2006, pp. 63-82.(Impact factor:1.308, 10+ citations at Google ...