Titlebook: Artificial Intelligence; Second CCF Internati Kevin Knight,Changshui Zhang,Min-Ling Zhang Conference proceedings 2019 Springer Nature Singa

incredulity

Large Scale Name Disambiguation Using Rule-Based Post Processing Combined with Aminermplements two types of disambiguation rules. We carefully evaluate the proposed post processing method on real-world large data and experimental result shows that our method achieves clearly better performance (+11% in terms of F1-score) than the state-of-the-art Aminer [.] method.

可憎

1865-0929 al sections on ​deep learning, image and video processing, NLP and recommender system, machine learning algorithms, and AI applications..978-981-32-9297-0978-981-32-9298-7Series ISSN 1865-0929 Series E-ISSN 1865-0937

有助于

Oracle APEX 5.0 Charts Inside Out, Furthermore, a balance factor is proposed to measure the accuracy and diversity of a recommender system comprehensively. Experimental results show that the recommendation results of the proposed algorithm are good.

纤细

过度

Project

FAR

https://doi.org/10.1007/978-981-32-9298-7artificial intelligence; clustering; clustering algorithms; computer networks; image processing; image se

URN

Indolent

Developing Successful Oracle Applications, weight vector. Therefore, using the traditional method to predict the unknown ratings ignores this difference in importance, resulting in a false assumption that all users have the same attention to different characteristics of the same item. In this paper, we propose a collaborative filtering syst

碳水化合物