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Task recommendation based on user preferences and user-task matching in mobile crowdsensing
In mobile crowdsensing, the sensing platform recruits users to complete large-scale sensing tasks cooperatively. In order to guarantee the quality of...
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User Preferences for AI-based Healthcare Apps: an Association Mining Analysis
This study investigated the factors influencing user preferences for AI-based healthcare apps. The study found that factors such as gender, real-time...
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Joint modeling of user and item preferences with interaction frequency and attention for knowledge graph-based recommendation
In recent years, knowledge graphs (KGs) have attracted considerable attention in recommendation research based on auxiliary information. The rich...
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Target-user preferences, motivations, and acceptance for a dialectical behaviour therapy smartphone application for eating disorders
PurposeEvidence shows that dialectical behavioural therapy (DBT) is efficacious for eating disorders (ED), yet few people have access to specialized...
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Design and optimization of mobile learning applications based on Hierarchical Bayes conjoint models of user preferences
When develo** new mobile applications, it is critical to accurately understand the needs of the target users at the early stage, so that the...
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User Multi-preferences Fusion for Conversational Recommender Systems
Conversational recommender systems (CRS) aim to provide recommendations by inferring user preferences during conversations. Many current CRS models...
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Multiple layer digital wayfinding information: A study of user preferences for information content and design in wayfinding applications
Wayfinding applications on mobile devices are gradually becoming efficient in delivering environmental information. These applications provide a...
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Learning user preferences through online conversations via personalized memory transfer
Dialogue systems are becoming an increasingly common part of many users’ daily routines. Natural language serves as a convenient interface to express...
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Leveraging the fine-grained user preferences with graph neural networks for recommendation
With the explosion of information, recommendation systems have become important for users to find their interested information. Existing...
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Tackling cold-start with deep personalized transfer of user preferences for cross-domain recommendation
The recommendation system plays an integral role in our daily lives, from movies to medical treatment. However, designing an efficient recommendation...
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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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Exploring user editing preferences in electronic forms: an empirical study
Electronic forms, such as order entry or tax declarations, frequently serve as the primary point of contact between users and information systems....
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Towards a general user model to develop intelligent user interfaces
The way end-users interact with a system plays a crucial role in the high acceptance of software. Related to this, the concept of Intelligent User...
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Using adaptive smart solutions to create user-centric living environments responsive to the psychological needs and preferences of home users
The home environment is where humans spend a significant amount of their time engaging in meaningful activities. It goes beyond being a mere physical...
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CoPUP: content popularity and user preferences aware content caching framework in mobile edge computing
Mobile edge computing (MEC) enables intelligent content caching at the network edge to reduce traffic and enhance content delivery efficiency. In MEC...
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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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Assessing user preferences for design characteristics of oral dissolvable strips for pediatric HIV medication: a qualitative study
BackgroundCurrent infant antiretroviral therapy formulations pose barriers to daily adherence due to complex weight-based dosing, conspicuous...
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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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User Preferences Based Preloading and ABR Algorithm for Short Video Streaming
Due to mobile networks and multimedia technology, short video streaming has become increasingly popular. However, traditional ABR algorithms are not...
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User-experience oriented POI recommendation with pseudo rating
Point-of-interest (POI) recommendation faces challenges in managing data sparsity and cold-start problems, particularly in terms of personalized...
