Finding users preferences from large-scale online reviews for personalized recommendation
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DOI: 10.1007/s10660-016-9240-9
Abstract: Along with the growth of Internet and electronic commerce, online consumer reviews have become a prevalent and rich source of information for both consumers and merchants. Numerous reviews record massive consumers’ opinions on products or… read more here.
Keywords: finding users; recommendation; online reviews; users preferences ... See more keywords
Choice experiments to elicit the users’ preferences for coastal erosion management: the case of Praia da Amorosa
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DOI: 10.1007/s10668-020-00768-0
Abstract: Coastal erosion is a complex and increasingly important problem, largely due to its effects and management strategies. The current context of climate change, together with centuries of human occupation of shorelines, adds pressure for the… read more here.
Keywords: coastal erosion; users preferences; management; erosion management ... See more keywords
Security and urban satisfaction: developing a model based on safe urban park design components extracted from users' preferences
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DOI: 10.1057/s41284-021-00303-4
Abstract: Nowadays, the feeling of fear and the lack of security in urban environment, in particular parks, are considered as the main concerns in public health. Thus, users’ characteristics should be considered for meeting the requirements… read more here.
Keywords: park; urban satisfaction; security; security urban ... See more keywords
Location planning of electric vehicle charging station with users’ preferences and waiting time: multi-objective bi-level programming model and HNSGA-II algorithm
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DOI: 10.1080/00207543.2021.2023832
Abstract: Interactive users’ preferences and waiting time together have great impact on charging station network design of electric vehicles (EVs), but only waiting time was considered in previous studies. To fill this research gap, this paper… read more here.
Keywords: time; location; users preferences; level ... See more keywords
Modeling the Evolution of Users’ Preferences and Social Links in Social Networking Services
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2017.2663422
Abstract: Sociologists have long converged that the evolution of a Social Networking Service(SNS) is driven by the interplay between users’ preferences (reflected in user-item interaction behavior) and the social network structure (reflected in user-user interaction behavior). Nevertheless,… read more here.
Keywords: social networking; evolution; users preferences; kinds behaviors ... See more keywords