Designing a Personalized Semantic Web Browser. by Sah, M, Hall, W, Roure, D

“…In this paper, we propose a novel Semantic Web browser using an ontology-driven user modeling architecture to enable semantic and adaptive links. …”

SemWeB: A Semantic Web Browser for Supporting the Browsing of Users Using Semantic and Adaptive Links. by Sah, M, Hall, W, Roure, D

“…In this paper, we propose a novel Semantic Web browser (SemWeB), which uses a behavior-based and an ontology-driven user modeling architecture. In our approach, semantic links and adaptive hypermedia can be achieved on different websites. …”

A framework for trust-based multidisciplinary team recommendation by Bossi, Lorenzo, Braghin, Stefano, Datta, Anwitaman, Trombetta, Alberto

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Static and Dynamic User Portraits by Ko-Hsun Huang, Yi-Shin Deng, Ming-Chuen Chuang

“…User modeling and profiling has been used to evaluate systems and predict user behaviors for a considerable time. …”
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A Review Paper: The Implementation of Learner Model Approaches in the Adaptive E-Learning Systems by Hiba A. ABU-ALSAAD

“…The so common way to structure the learner models approaches rely on the personalization and user modelling. However, personalization and user modeling found out to be the best approaches-not only in developing students' talents but also in allowing students to take their own learning direction and making sure that they are using their potential to the fullest. …”
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Sequential path signature networks for personalised longitudinal language modeling by Tseriotou, T, Tsakalidis, A, Foster, P, Lyons, T, Liakata, M

“…Longitudinal user modeling can provide a strong signal for various downstream tasks. …”

Context-Aware Scheduling in Personal Data Collection From Multiple Wearable Devices by Ao Guo, Jianhua Ma

“…Due to the prevalence of smartphones and various wearable devices, the collection of rich personal data that can be used for human activity recognition, user modeling, and personalized services has become feasible. …”
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Estimating a User's Internal State before the First Input Utterance by Yuya Chiba, Akinori Ito

“…Finally, we conducted a discrimination experiment with the trained user model using combined features. As a three-class discrimination result, we obtained about 85% accuracy in an open test.…”
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Curriculum design for social, cognitive and emotional engagement in Knowledge Building by Gaoxia Zhu, Preeti Raman, Wanli Xing, Jim Slotta

“…Sawyer (ed) Cambridge handbook of the learning sciences, Cambridge University Press, 2014), includes cognitive, social constructivist, and emotional elements (Zhu et al. in User Modeling and User-Adapted Interaction, 29: 789–820, 2019b). …”
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Attachment Styles and Communication of Displeasing Truths by Isora Sessa, Francesca D’Errico, Isabella Poggi, Giovanna Leone

“…The detection of communicative strategies stemming from different attachment styles might be of use in user modeling and the planning of personalized systems.…”
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Medication recommendation system for online pharmacy using an adaptive user interface by Beatriz Nistal-Nuño

“…The system developed simulates an online pharmacy with an introductory adaptive user interface using Bayesian user modeling for predicting the medication needs of patients. …”
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MAS.622 / 1.126J Pattern Recognition & Analysis, Fall 2000 by Massachusetts Institute of Technology. Media Laboratory.

“…Basic tools and theory for signal understanding problems with applications to user modeling, affect recognition, speech recognition and understanding, computer vision, physiological analysis, and more. …”
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‘Who likes what and, why?’ Insights into modeling users’ personality based on image ‘likes’ by Guntuku, Sharath Chandra, Zhou, Joey Tianyi, Roy, Sujoy, Lin, Weisi, Tsang, Ivor W.

“…This has opened up the possibility of using multimedia as a source for user-modeling. This work attempts to model personality traits (based on the Five Factor Theory) of users using a collection of images they tag as `favorite' (or like) on Flickr. …”
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Probabilistic models over weighted orderings: fixed-parameter tractable variable elimination by Lukasiewicz, T, Martinez, MV, Poole, D, Simari, GI

“…Recent models of weighted orderings between elements that have been proposed as flexible tools to express preferences under uncertainty, are also potentially useful in applications like planning, temporal reasoning, and user modeling. Their computational properties are very different from those of conventional Markov models; because of the transitivity of the “less than” relation, standard methods that exploit structure of the models, such as variable elimination, are not directly applicable, as there are no conditional independencies between the orderings within connected components. …”

On Wireless Sensor Network Models: A Cross-Layer Systematic Review by Fernando Ojeda, Diego Mendez, Arturo Fajardo, Frank Ellinger

“…Based on these WSN models, many research works propose solutions to the problem of abstracting and exporting network functionalities and capabilities to the final user. Modeling an entire WSN is a difficult task for researchers since they must consider all of the constraints that affect network metrics, devices and system administration, holistically, and the models developed in different research works are currently focused only on a specific network layer (physical, link, or transport layer), making the estimation of the WSN behavior a very difficult task. …”
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Explicit Behavior Interaction with Heterogeneous Graph for Multi-behavior Recommendation by Zhongping Zhang, Yin Jia, Yuehan Hou, Xinlu Yu

“…Abstract Multi-behavior recommendation systems exploit multi-type user–item interactions (e.g., clicking, adding to cart and collecting) as auxiliary behaviors for user modeling, which can alleviate the problem of data sparsity faced by traditional recommendation systems. …”
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A DNN-Based Cross-Domain Recommender System for Alleviating Cold-Start Problem in E-Commerce by Hanxin Wang, Daichi Amagata, Takuya Makeawa, Takahiro Hara, Niu Hao, Kei Yonekawa, Mori Kurokawa

“…Therefore, we propose R-metapath2Vec to enhance user modeling and use the Stacking model to integrate these two kinds of user representations. …”
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Hierarchical Attentional Factorization Machines for Expert Recommendation in Community Question Answering by Weizhao Tang, Tun Lu, Dongsheng Li, Hansu Gu, Ning Gu

“…However, the performance of existing methods can be adversely affected by many common factors such as data sparsity and noise problem, which cause less precise user modeling. Moreover, existing methods often model user-question interactions through simple ways, failing to capture the multiple scale interactions of question and answerers, which make it difficult to find answerers who are able to provide the best answers. …”
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Preference-Aware Dynamic Bitrate Adaptation for Mobile Short-Form Video Feed Streaming by Dezhi Ran, Huadun Hong, Yang Chen, Bonan Ma, Yuanxing Zhang, Pengyu Zhao, Kaigui Bian

“…In this paper, we propose RecDASH, which consists of an attention-based user modeling module leveraging advanced recommendation algorithms and a reinforcement learning (RL) based bitrate adaptation module. …”
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Listener Modeling and Context-Aware Music Recommendation Based on Country Archetypes by Markus Schedl, Markus Schedl, Christine Bauer, Wolfgang Reisinger, Dominik Kowald, Elisabeth Lex

“…Second, we formulate four user models that leverage the user’s country information on music preferences. …”
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