Mining user preferences of new locations on location-based social networks: a multidimensional cloud model approach
Sign Up to like & getrecommendations! Published in 2018 at "Wireless Networks"
DOI: 10.1007/s11276-016-1316-x
Abstract: In recent years, the prevalent of location-based social networks contributes massive data for location recommendation. Although collaborative filtering (CF) algorithm has been widely employed for location recommendation, it suffers the data sparsity and the high… read more here.
Keywords: location; cloud model; user preferences;
User preferences and willingness to pay for in-vehicle assistance
Sign Up to like & getrecommendations! Published in 2019 at "Electronic Markets"
DOI: 10.1007/s12525-019-00330-5
Abstract: As consumers’ demand for interconnectivity and infotainment grows continuously, car manufacturers face the challenge of developing more sophisticated, user appealing and economically viable in-vehicle infotainment assistants while staying within the boundaries of their limited resources.… read more here.
Keywords: assistance; pay vehicle; preferences willingness; vehicle ... See more keywords
User preferences for privacy features in digital assistants
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DOI: 10.1007/s12525-020-00447-y
Abstract: Digital assistants (DA) perform routine tasks for users by interacting with the Internet of Things (IoT) devices and digital services. To do so, such assistants rely heavily on personal data, e.g. to provide personalized responses.… read more here.
Keywords: features digital; design privacy; digital assistants; user preferences ... See more keywords
FG-RS: Capture user fine-grained preferences through attribute information for Recommender Systems
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DOI: 10.1016/j.neucom.2021.05.068
Abstract: Abstract Recommender system uses user-item historical interactions to portray user preferences. Due to the problem of data sparseness, auxiliary information is introduced to describe user preferences, such as user/item attribute information. However, some of these… read more here.
Keywords: user fine; fine; user preferences; fine grained ... See more keywords
Fusing User Preferences and Spatiotemporal Information for Sequential Recommendation
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DOI: 10.1109/access.2022.3201339
Abstract: At present, the research on sequence recommendation mainly focuses on using the historical interaction data between users and items to mine their relationship, so as to predict the next interaction between users and items, then… read more here.
Keywords: information; spatiotemporal information; sequential recommendation; recommendation ... See more keywords
Learning User Preferences for Complex Cobotic Tasks: Meta-Behaviors and Human Groups
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2023.3279619
Abstract: In complex tasks (beyond a single targeted controller) requiring robots to collaborate with multiple human users, two challenges arise: complex tasks are often composed of multiple behaviors which can only be evaluated as a collective… read more here.
Keywords: complex cobotic; learning user; group; preferences complex ... See more keywords
A Meta-Learning Framework for Learning Multi-User Preferences in QoE Optimization of DASH
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2019.2939282
Abstract: Dynamic adaptive video streaming over hypertext transfer protocol (DASH) plays a key role in video transmission over the Internet. The conventional DASH adaptation approaches mainly focus on optimizing the overall quality of experience (QoE) for… read more here.
Keywords: dash; dash adaptation; user preferences; qoe ... See more keywords
A Deep Dive into User's Preferences and Behavior around Mobile Phone Sharing
Sign Up to like & getrecommendations! Published in 2023 at "Proceedings of the ACM on Human-Computer Interaction"
DOI: 10.1145/3579595
Abstract: Users share their personal devices with different entities in various circumstances. While prior research shed light on the broad reasons behind the sharing of mobile phones, there is a dearth of systematic study to understand… read more here.
Keywords: phone sharing; dive user; deep dive; user preferences ... See more keywords
Do user preferences align with human factors assessment scores of drug–drug interaction alerts?
Sign Up to like & getrecommendations! Published in 2020 at "Health Informatics Journal"
DOI: 10.1177/1460458219840210
Abstract: This study aimed to assess drug–drug interaction alert interfaces and to examine the relationship between compliance with human factors principles and user-preferences of alerts. Three reviewers independently evaluated drug–drug interaction alert interfaces in seven electronic… read more here.
Keywords: drug interaction; drug; user preferences; drug drug ... See more keywords
An Approach Incorporating User Preferences in the Design of Sanitation Systems and Its Application in the Rural Communities of Chiapas, Mexico
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DOI: 10.3390/su12031024
Abstract: Globally, the numerous efforts exerted toward providing basic sanitation services to people have not been sufficient to achieve universal coverage. In developing countries worldwide, many policies, strategies, initiatives, and projects on basic sanitation have failed,… read more here.
Keywords: sanitation; user preferences; approach; basic sanitation ... See more keywords
A Comparative Evaluation of Utility Value Based on User Preferences for Urban Streets: The Case of Seoul, Korea
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DOI: 10.3390/su13095073
Abstract: Currently, there is a lack of objective evaluations clarifying characteristics of urban streets from the users’ perspective, particularly regarding the most effective spatial composition. This study investigated the value of spatial components of urban streets… read more here.
Keywords: urban streets; user preferences; value; characteristics urban ... See more keywords