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Deep Reinforcement Learning for Robotic Approaching Behavior Influenced by User Activity and Disengagement
A robot intended to monitor human behavior must account for the user’s reactions to minimize his/her perceived discomfort. The possibility of...
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EXPECT-NLP: An Integrated Pipeline and User Interface for Exploring Patient Preferences Directly from Patient-Generated Text
Understanding patient preferences for drug therapies can help to inform drug development, reimbursement decisions by insurers, and shared...
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Examining the intersection of ontology, model-based system engineering, and user interface development: the future of design?
Given the increasing complexity of systems and knowledge domains, interoperability of multiple systems, differences among stakeholders and...
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Effects of user factors on user experience in virtual reality: age, gender, and VR experience as influencing factors for VR exergames
As virtual reality (VR) technology is extensively develo** in past years, more and more people are using it in different fields. One of the...
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Smart tourism products and services design based on user experience under the background of big data
The rapid advancements in big data techniques and artificial intelligence (AI) have led to a radical transformation of the tourism industry,...
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Event detection using the user context in sensor based IoT
The clustering methodologies for deployed devices in the region of interest consider the similarity of sensed data or target maximization of network...
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New Trends in Over the Top Media Service (OTT) Web User Behaviour Analysis and Unethical User Prediction
This research shows unethical user prediction on the peer-to-peer content delivery network against the Over-The-Top media service (OTT). The Web User...
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Multi-temporal Sequential Recommendation Model Based on the Fused Learning Preferences
Since sequential recommendation can effectively capture the user’s dynamic interaction pattern according to the user’s historical interaction, it...
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Assessing cyclists’ routing preferences by analyzing extensive user setting data from a bike-routing engine
IntroductionMany municipalities aim to support the uptake of cycling as an environmentally friendly and healthy mode of transport. It is therefore...
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Introducing User Feedback-Based Counterfactual Explanations (UFCE)
Machine learning models are widely used in real-world applications. However, their complexity makes it often challenging to interpret the rationale...
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Fixed Urgent Window Pass for a Wireless Network with User Preferences
This research considers the router allocation problem in situations with sensitive, highest-priority, and severe demand constraints. Examples include...
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Service Availability Assessment Model Based on User Tolerance
The inability to choose an excellent service recommended by a system simply because it is not available is common when people use service...
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Visual narrative for data journalism based on user experience
As data journalism continues to rise, narrative visualization has emerged as an essential method for conveying information. To improve the user...
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Negotiation-Based Multi-agent System for Ambient Conditions Control in Accordance with Multiple User Preferences
The Internet of Things has set the foundation for countless innovative solutions, some of which are designed specifically for homes, offices, etc.,...
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User oriented smart connected product and smart environment: a systematic literature review
Smart Connected Product(SCP) and Smart Environment(SE), typical product-service integrated system under intelligent manufacturing context, have...
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Automation Marketing Strategy Choice in the Field of Internet Business Based on User Preferences
The article discusses the problems of automating support for choosing a marketing strategy based on user preferences. This problem arose due to a...
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Data Mining of E-Commerce Enterprise User Preferences in the Context of Big Data
In the era of big data (BD), consumer behavior information is easier to collect. Therefore, as a popular e-commerce (EC) industry, it is necessary to...
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User behavior data analysis and product design optimization algorithm based on deep learning
In modern society, user behavior data analysis and product design optimization have become one of the key factors for the success of enterprises....
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An efficient e-learning recommendation system for user preferences using hybrid optimization algorithm
The expanding approval of e-learning structure has made the need for the customized suggestion prototype which can be utilized to advance the...
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User interest modeling and collaborative filtering algorithms application in English personalized learning resource recommendation
In order to solve the problem that the current traditional English classroom teaching in large classes has higher teaching efficiency, but it is...
