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The Collaborative Search by Tag-Based User Profile in Social Media
Published 2014-01-01Get full text
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Personalization of the Workplace through a Proximity Detection System Using User Profiles
Published 2013-08-01Get full text
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Two-Level Automatic Adaptation of a Distributed User Profile for Personalized News Content Delivery
Published 2008-01-01“…The user profile enables a high-level filtering of available news content on the server, followed by matching of detailed user preferences in the handset. …”
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Prise en compte de l’occupant dans une démarche interdisciplinaire de réhabilitation durable
Published 2017-07-01Subjects: Get full text
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Relationship between Personality Types Conceptualized by C. G. Jung and Latvian IT Specialist Preferences
Published 2015-10-01Subjects: Get full text
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Factors influencing emotional driving: examining the impact of arousal on the interplay between age, personality, and driving behaviors
Published 2025-02-01Subjects: Get full text
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THE PRESENTATION OF SELF IN THE ONLINE SOCIAL NETWORK
Published 2013-12-01Subjects: Get full text
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Hybrid Recommender System for Tourism Based on Big Data and AI: A Conceptual Framework
Published 2021-03-01Subjects: Get full text
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Unveiling user identity across social media: a novel unsupervised gradient semantic model for accurate and efficient user alignment
Published 2024-11-01“…UA plays a pivotal role in synthesising coherent user profiles and delving into the intricacies of user behaviour across platforms. …”
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Tweets Classification and Sentiment Analysis for Personalized Tweets Recommendation
Published 2020-01-01“…Mining social network data and developing user profile from unstructured and informal data are a challenging task. …”
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Influence of age and gender specifics of social network users in Russia on marketing and advertising methods
Published 2020-10-01“…The concepts of social network, user profile and properties inherent in any social network – virtuality, interactivity and multimedia have been сharacterized and revealed. …”
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Identifikasi Pengaruh Pandemi Covid-19 terhadap Perilaku Pengguna Twitter dengan Pendekatan Social Network Analysis
Published 2021-11-01“…The contribution of this research is to find behavior changes of Twitter users through user profiles analysis in the before and after COVID-19 period. …”
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La géographie selon LinkedIn. L’exemple de la région SUD.
Published 2022-06-01“…LinkedIn is a professional social network that facilitates information exchanges and networking among its members. Based on the user profiles, the platform's algorithm assigns them to a municipality, a sector, or a region, thus drawing up a spatial polarization. …”
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Analytical, Dynamic, and Interactive Platform for Generation and Managing Predictive Models Focused on Energy Sector
Published 2022-01-01“…In this investigation, components related to the generation of electrical energy in this area are identified and a centralized system is proposed, with information segmentation, management of 3 user profiles, 6 KPIs, 5 configurable parameters, 7 different forecast models using statistical techniques, support vector machines, and automatic and deep learning, with 2 ways of visualization, to carry out analyses at 3 different time horizons. …”
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Design of an Improved Method for Visual Rendering in the Metaverse Using CIEM and MSRANet
Published 2025-01-01“…Multi-Scale Residual Attention Network combines residual learning with the attention mechanism at multiple scales, achieving a latency reduction of 25% and an image quality improvement of 10% to balance high visual fidelity with computational efficiency. Adaptive User Profiling and Vision Enhancement (AUPVE), allows dynamic changes of the visual settings based on real-time user data, raising the level of satisfaction by 30% and session time—by 20%. …”
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WIMUSim: simulating realistic variabilities in wearable IMUs for human activity recognition
Published 2025-01-01“…Moreover, we demonstrate the use of WIMUSim for data augmentation through two approaches: Comprehensive Parameter Mixing, which enhances data diversity by varying parameter combinations across subjects, outperforming models trained with real and non-optimized virtual IMU data by 4–10 percentage points (pp); and Personalized Dataset Generation, which customizes augmented datasets to individual user profiles, resulting in average accuracy improvements of 4 pp, with gains exceeding 10 pp for certain subjects.DiscussionThese results underscore the benefit of high-fidelity virtual IMU data and WIMUSim's utility in developing effective data generation strategies, alleviating the challenge of data scarcity in sensor-based HAR.…”
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Frequency of consumption and factors associated with hookah use in Curitiba, Brazil: a cross-sectional study
Published 2025-01-01“…Hookah groups were contacted on social networking sites via an invitation that contained a link to the questionnaire, which comprised 21 questions covering demographic and socioeconomic characteristics, user profiles, use of cigarettes and alcohol, symptoms, and perceptions of the risks of hookah use. …”
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