- Large|scale Hybrid Approach for Predicting User Satisfaction ...🔍
- Large|scale hybrid approach for predicting user satisfaction with ...🔍
- Large|scale Hybrid Approach for Predicting User Satisfaction with ...🔍
- [2006.07113] Large|scale Hybrid Approach for Predicting User ...🔍
- [PDF] Large|scale Hybrid Approach for Predicting User Satisfaction ...🔍
- A hybrid approach for predicting customers' individual purchase ...🔍
- Predicting customer satisfaction based on online reviews and hybrid ...🔍
- Enhancing Personalized Search with AI🔍
Large|scale Hybrid Approach for Predicting User Satisfaction with ...
Large-scale Hybrid Approach for Predicting User Satisfaction ... - arXiv
Title:Large-scale Hybrid Approach for Predicting User Satisfaction with Conversational Agents ... Abstract:Measuring user satisfaction level is a ...
Large-scale hybrid approach for predicting user satisfaction with ...
Large-scale hybrid approach for predicting user satisfaction with conversational agents. By Dookun Park, Hao Yuan, Dongmin Kim, Yinglei Zhang, Spyros ...
Large-scale Hybrid Approach for Predicting User Satisfaction with ...
Large-scale Hybrid Approach for Predicting User. Satisfaction with Conversational Agents. Dookun Park. Hao Yuan. Dongmin Kim. Yinglei Zhang Spyros Matsoukas.
Large-scale Hybrid Approach for Predicting User Satisfaction with ...
The hybrid approach is based on a waterfall policy, and the experimental results with Amazon Alexa's large-scale datasets show significant ...
[2006.07113] Large-scale Hybrid Approach for Predicting User ...
Large-scale Hybrid Approach for Predicting User Satisfaction with Conversational Agents. Dookun Park Hao Yuan Dongmin Kim Yinglei Zhang Spyros Matsoukas ...
[PDF] Large-scale Hybrid Approach for Predicting User Satisfaction ...
The user satisfaction assessment problem is tackled with a hybrid approach that fuses explicit user feedback, user satisfaction predictions ...
A hybrid approach for predicting customers' individual purchase ...
... satisfaction and loyalty. Therefore, due to these significant ben ... The large amount of consumer data has brought the potential of ...
Predicting customer satisfaction based on online reviews and hybrid ...
When the number of data is large, a large number of customers surveys is required. ... The approach generates hybrid models which have better prediction ...
Enhancing Personalized Search with AI: A Hybrid Approach ...
... large-scale research data. The system employs a ... An analysis of data on 100 million searches showed significant improvements in search accuracy and user ...
A hybrid machine learning with process analytics for predicting ...
One of the applications of customer journey analytics is the extraction of journey maps using data mining approaches [5]. With the increase of online service ...
[PDF] Joint Goal Segmentation and Goal Success Prediction on ...
Large-scale Hybrid Approach for Predicting User Satisfaction with Conversational Agents · Dookun ParkHaonan Yuan +10 authors. Sungjin Lee. Computer Science.
User Intents and Satisfaction with Slate Recommendations
Since the list of possible intents users might have is hitherto unknown, we adopt a mixed methods approach to understand user intents, and ...
Predicting ERP User Satisfaction―an Adaptive Neuro Fuzzy ...
This research has developed a method of predicting User Satisfaction, a key ... Scale with end values of 7 = Completely Satisfied and 1 = Completely Dissatisfied.
Development of a Tool for Measuring and Analyzing Computer User ...
Adapting the semantic differential scaling technique, a questionnaire for measuring satisfaction was then created. Finally, the instrument was pilot tested to ...
Understanding and Predicting User Satisfaction with Conversational ...
In this section, we present our approach to predicting user satisfaction in CRS. ... Collecting a large-scale dataset can be achieved in an automatic way by ...
Predicting ERP User Satisfaction―an Adaptive Neuro Fuzzy ...
Predicting ERP User Satisfaction―an Adaptive Neuro Fuzzy Inference System (ANFIS) Approach ... Scale with end values of 7 = Completely Satisfied and 1 ...
Benjamin Yao - Google Scholar
Large-scale hybrid approach for predicting user satisfaction with conversational agents. D Park, H Yuan, D Kim, Y Zhang, M Spyros, YB Kim, R Sarikaya, E Guo ...
Interpretable User Satisfaction Estimation for Conversational ...
Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models ... The resulting method, Supervised Prompting ...
A Task-Technology-Identity Fit Model of Smartwatch Utilisation and ...
... Model of Smartwatch Utilisation and User Satisfaction: A Hybrid SEM-Neural Network Approach ... predicting positive outcomes such as user ...
Large-scale hybrid approach for predicting user satisfaction with conversational agents. D Park, H Yuan, D Kim, Y Zhang, M Spyros, YB Kim, R Sarikaya, E Guo ...