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Dynamic and Personalized Video Summarization Based on User Preferences
Personalized video summarization entails generation of short and compact video summary based exclusively on user preferences. The perception of...
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User Preferences for Automated Shared Mobility Services: An Alternative-Specific Mixed Logit Regression Approach
Ridesharing transportation services as the leading transport systems in recent years have already invested in shared autonomous vehicles (SAVs) as...
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Analysing user daylight preferences in heritage buildings using virtual reality
Technology has always been creating effective ways to support human decisions. Immersive virtual reality (IVR) has emerged to engage users in a...
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An intelligent parking management system using RFID technology based on user preferences
Due to the tremendous progress in the automotive industry, the growth of the urban population, the number of cars is increasing and this creates...
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Handling Preferences
This chapter presents an overview of approaches related to the handling of preferences in (group) recommendation scenarios. We first introduce the...
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Personalizing Activity Selection in Assistive Social Robots from Explicit and Implicit User Feedback
Robots in multi-user environments require adaptation to produce personalized interactions. In these scenarios, the user’s feedback leads the robots...
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Adaptive System to Manage User Comfort Preferences and Conflicts at Everyday Environments
Nowadays an actual problem on IoT adaptive systems is to manage user preferences and local actuators specifications. This paper uses a multi agent...
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Deep reinforcement learning applied to an assembly sequence planning problem with user preferences
Deep reinforcement learning (DRL) has demonstrated its potential in solving complex manufacturing decision-making problems, especially in a context...
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Investigating Driver Preferences for Traffic Information Using Digital Signage and Road Surface Holograms
This study investigates road users’ information preferences to enhance traffic information provision strategies. Traditional road signs primarily...
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Learning User Preferences for Trajectories from Brain Signals
Robot motions in the presence of humans should not only be feasible and safe, but also conform to human preferences. This, however, requires user...
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Towards Handling Unconstrained User Preferences in Dialogue
A user input to a schema-driven dialogue information navigation system, such as venue search, is typically constrained by the underlying database...
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Image embedding and user multi-preference modeling for data collection sampling
This work proposes an end-to-end user-centric sampling method aimed at selecting the images from an image collection that are able to maximize the...
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Integrating Machine Learning and Evidential Reasoning for User Profiling and Recommendation
User profiles representing users’ preferences and interests play an important role in many applications of personalized recommendation. With the...
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Simultaneously learning intentions and preferences during physical human-robot cooperation
The advent of collaborative robots allows humans and robots to cooperate in a direct and physical way. While this leads to amazing new opportunities...
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Revisiting natural user interaction in virtual world
Natural user interaction in virtual environment is a prominent factor in any mixed reality applications. In this paper, we revisit the assessment of...
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A Hybrid Deep Learning Method to Extract Multi-features from Reviews and User–Item Relations for Rating Prediction
Currently, the Internet is widely used for shop**. Online reviews have become a crucial factor in hel** people to make purchasing decisions....
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A Study of Young User Preferences for Form and Colour as an Influential Design Attribute
The increase in technology and usage of smart wearables has led to the need in understanding user preferences. The form structure and colours play a...
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Understanding evolving user choices: a neural network analysis of TAXI and ride-hailing services in Barcelona
Urban mobility stands as a fundamental element worthy of consideration by both society and its leaders. Often, decisions in this realm are made by...
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The Proposed Context Matching Algorithm and Its Application for User Preferences of Tourism in COVID-19 Pandemic
Currently, many applications of information search tourism are limited in the COVID-19 pandemic using a search engine. However, most application...
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User-centered design of an augmented reality inspection tool for industry 4.0 operators
In the context of Industry 4.0, the Operator 4.0 paradigm plays a crucial role in seamlessly integrating new digital technologies into smart...
