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User behavior modeling for AR personalized recommendations in spatial transitions
There have been studies on personalized augmented reality (AR) systems taking users’ contexts and histories into account. However, there is...
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Understanding user intent modeling for conversational recommender systems: a systematic literature review
User intent modeling in natural language processing deciphers user requests to allow for personalized responses. The substantial volume of research...
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LSTM-UBI: a user behavior inertia based recommendation method
Practice shows that human behavior has certain patterns, also called as behavioral inertia. It often plays a crucial role in user’s decision-making....
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Mining User-Object Interaction Data for Student Modeling in Intelligent Learning Environments
AbstractThis work seeks to contribute to the development of intelligent environments by presenting an approach oriented to the identification of...
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Modeling dynamic spatiotemporal user preference for location prediction: a mutually enhanced method
As the cornerstone of location-based services, location prediction aims to predict user’s next location through modeling user’s personal preference...
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Modeling and enforcing access control policies in conversational user interfaces
Conversational user interfaces (CUIs), such as chatbots, are becoming a common component of many software systems. Although they are evolving in many...
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Patterns of User Behavior and Token Adoption on ERC20
Cryptocurrencies and Blockchain-based technologies are disrupting markets across the globe. While the potential development of such technologies...
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Review of In-App Nudges Towards User Decision Behavior: A Topic Modeling Approach
The prevalence of mobile applications meant that individuals made more decisions online in their daily lives for a wide range of activities, and... -
User Identity Modeling to Characterize Communication Patterns of Domestic Extremists Behavior on Social Media
Years of online manifestos and mass killings by Domestic Violent Extremists (DVEs) in the U.S. and other nations indicate a grave global crisis. DVEs... -
Adapting approaching proxemics of a service robot based on physical user behavior and user feedback
Service robots with social interactive features are developed to cater to the demand in various application domains. These robots often need to...
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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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A knowledge distilled attention-based latent information extraction network for sequential user behavior
When modeling user-item interaction sequences to extract sequential patterns, current recommender systems face the dual issues of a) long-distance...
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Transfer how much: a fine-grained measure of the knowledge transferability of user behavior sequences in social network
Various user behaviors are providing valuable information for user interest modeling in online information platforms. For the phenomenon that some...
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Topic and knowledge-enhanced modeling for edge-enabled IoT user identity linkage across social networks
The Internet of Things (IoT) devices spawn growing diverse social platforms and online data at the network edge, propelling the development of...
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A language framework for modeling social media account behavior
Malicious actors exploit social media to inflate stock prices, sway elections, spread misinformation, and sow discord. To these ends, they employ...
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Modeling different effects of user and product attributes on review sentiment classification
As a fundamental task, review sentiment classification aims to predict a user’s overall sentiment in a review about a product. Recent studies have...
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Explicit Behavior Interaction with Heterogeneous Graph for Multi-behavior Recommendation
Multi-behavior recommendation systems exploit multi-type user–item interactions (e.g., clicking, adding to cart and collecting) as auxiliary...
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User journey games: automating user-centric analysis
The servitization of business is moving industry to business models driven by customer demand. Customer satisfaction is connected with financial...
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Human Factors in User Modeling for Intelligent Systems
In the current digital landscape, humans take center stage. This has caused a paradigm shift in the realm of intelligent technologies, prompting... -
Evaluating user acceptance of knowledge-intensive business process modeling languages
Case Management has been evolving to support knowledge-intensive business process management, resulting in different modeling languages, e.g.,...