[目的] 充分利用学术文献的特征信息和关系信息解决作者姓名消歧问题.[方法] 提出了一种特征
信息嵌入和关系图优化相结合的姓名消歧方法. 首先基于文本信息提取文献特征, 通过表示学习…

… 1.2 知识图谱推荐 将知识图谱引入到推荐中作为辅助信息的方法可 分为三类:基于连接的方法
(connection-based method), 基于嵌入的方法(embedding-based method)和基于传播 的方法(…

… Then, the quatrain generation model proposed in this paper is established through the
Sequence to Sequence model, which is based on a bidirectional recurrent neural network with …

… [Methods] We classified the extracted text sentiment according to the type of the source
financial text, then introduced the framework of text sentiment analysis, and finally sorted out the …

… [Objective] We used the TransE model to represent knowledge base triples, and used the
multi-layer perceptron model to detect errors. Then, we cleaned the dataset with confidence …

… According to the data sources used in recommender systems and the classification of the
traditional recommender systems, we categorize the current research into five main directions: …

… Text classification experiments were conducted on four large-scale real data sets, … showed
that the classification accuracy of the KEGCN network model was better … baseline models. …

… a uniform way for embeddingbased models without accessing triple data in the knowledge
graph. PKGM was tested in three knowledge-related tasks including item classification, same …

… [Objective] This paper develops a neural network model to improve the online questioning
and answering services.[Methods] First, we retrieved and constructed our experimental …