scholarly journals e-Commerce Online Intelligent Customer Service System Based on Fuzzy Control

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Dongmei Wei
Keyword(s):  
Fuzzy Control ◽  
Customer Service ◽  
Domain Knowledge ◽  
Service System ◽  
Recognition Algorithm ◽  
Experimental Results ◽  
Vector Model ◽  
Service Robot ◽  
Hinge Loss ◽  
Dialogue Structure

In order to improve the intelligence of the e-commerce online intelligent customer service system, this paper proposes a deep rejection recognition algorithm based on the maximum interval squared hinge loss and combines the actual needs of the e-commerce online customer service system to build an intelligent customer service system with the support of the fuzzy control system. Moreover, this article chooses to build a domain ontology library for structured storage of domain knowledge needed by customer service chatbots. In addition, this article analyzes the dialogue structure based on the speech act model and combines the semantic vector model of the question sentence on the basis of the dialogue structure to understand the question sentence, which helps to improve the accuracy of the answer feedback of the Internet shopping customer service robot. Finally, this article designs experiments to verify the performance of the online customer service system constructed in this article and analyzes the experimental results through statistical methods. The experimental results show that the online intelligent customer service system constructed in this paper has certain practical effects.

scholarly journals Video Question Answering on Screencast Tutorials

2020 ◽  
Author(s):  
Wentian Zhao ◽  
Seokhwan Kim ◽  
Ning Xu ◽  
Hailin Jin
Keyword(s):  
Neural Network ◽  
Knowledge Base ◽  
Domain Knowledge ◽  
Visual Cues ◽  
Question Answering ◽  
Recognition Algorithm ◽  
Experimental Results ◽  
Network Architectures ◽  
Neural Network Architectures ◽  
Video Question Answering

This paper presents a new video question answering task on screencast tutorials. We introduce a dataset including question, answer and context triples from the tutorial videos for a software. Unlike other video question answering works, all the answers in our dataset are grounded to the domain knowledge base. An one-shot recognition algorithm is designed to extract the visual cues, which helps enhance the performance of video question answering. We also propose several baseline neural network architectures based on various aspects of video contexts from the dataset. The experimental results demonstrate that our proposed models significantly improve the question answering performances by incorporating multi-modal contexts and domain knowledge.

Weak Supervised Behavior Recognition Algorithm Based on Domain Knowledge Graph

2021 ◽  
Author(s):  
Jian Xie ◽  
Xi Li ◽  
Da Hong Xu ◽  
Hua Ling Zhou ◽  
Mengzi Liang ◽  
...  
Keyword(s):  
Domain Knowledge ◽  
Recognition Algorithm ◽  
Knowledge Graph ◽  
Behavior Recognition

Profile Measurement of a Curved Workpiece by the Fuzzy Control of Sensor Positioning

1999 ◽  
Author(s):  
Masatake Shiraishi ◽  
Gongjun Yang
Keyword(s):  
Fuzzy Control ◽  
Control Algorithm ◽  
Experimental Results ◽  
Measuring System ◽  
Displacement Sensor ◽  
Profile Measurement ◽  
Laser Displacement Sensor ◽  
Inclination Angles ◽  
Fuzzy Control Algorithm ◽  
Sensor Positioning

Abstract A laser displacement sensor which has a resolution of 0.5 μm was used to determine the measurement of a curved workpiece profile in turning. This sensor is attached to a specially designed stage and is operated by three motors which are controlled by a fuzzy control algorithm. The experimental results show that the measuring system can be applied to workpieces having inclination angles of up to around 45°. The proposed measuring system has a practical measuring accuracy to within ten micrometers.

Face Recognition Algorithm Based on Kernel Collaborative Representation

2013 ◽  
Vol 756-759 ◽  
pp. 3590-3595
Author(s):  
Liang Zhang ◽  
Ji Wen Dong
Keyword(s):  
Face Recognition ◽  
Principal Components Analysis ◽  
Principal Components ◽  
Recognition Algorithm ◽  
Experimental Results ◽  
Collaborative Representation ◽  
Nonlinear Structures ◽  
Components Analysis ◽  
Kernel Principal Components Analysis ◽  
The Relationship

Aiming at solving the problems of occlusion and illumination in face recognition, a new method of face recognition based on Kernel Principal Components Analysis (KPCA) and Collaborative Representation Classifier (CRC) is developed. The KPCA can obtain effective discriminative information and reduce the feature dimensions by extracting faces nonlinear structures features, the decisive factor. Considering the collaboration among the samples, the CRC which synthetically consider the relationship among samples is used. Experimental results demonstrate that the algorithm obtains good recognition rates and also improves the efficiency. The KCRC algorithm can effectively solve the problem of illumination and occlusion in face recognition.

scholarly journals Sistem Informasi Pelayanan Jasa pada Lucky Photo

2021 ◽  
Vol 11 (1) ◽  
pp. 81-95
Author(s):  
T Pradita ◽  
A Mubarok
Keyword(s):  
Information System ◽  
Customer Service ◽  
Service System ◽  
The Internet ◽  
Application System ◽  
Web Based ◽  
Customer Data ◽  
Service Information ◽  
Internet Media ◽  
A Company

The development of services has developed into the internet media, to make it easier for customers and employees in managing a job. In the problem of Lucky Photo, which covers services including printing, sales, stock of goods, purchases, and reports are not effective properly. The researcher aims to develop a service system entitled Service Information Systems at Lucky Photo. By building a web-based application, a waterfall method is needed to become a benchmark for the creation of a service information system, so the results will be obtained on a web-based application system to demand progress in a company, including services that become easier, easier customer service in conduct transactions, generate reports, and process customer data. So it can be concluded that with the construction of a new Service Information System it will be easier to make transactions, make it easier for customers, create reports, and process customer data that is embedded in the Mysql database which will become a well-systemized report.

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