標(biāo)題: Titlebook: User Modeling, Adaptation and Personalization; 23rd International C Francesco Ricci,Kalina Bontcheva,Séamus Lawless Conference proceedings [打印本頁] 作者: concession 時(shí)間: 2025-3-21 16:04
書目名稱User Modeling, Adaptation and Personalization影響因子(影響力)
書目名稱User Modeling, Adaptation and Personalization影響因子(影響力)學(xué)科排名
書目名稱User Modeling, Adaptation and Personalization網(wǎng)絡(luò)公開度
書目名稱User Modeling, Adaptation and Personalization網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱User Modeling, Adaptation and Personalization被引頻次
書目名稱User Modeling, Adaptation and Personalization被引頻次學(xué)科排名
書目名稱User Modeling, Adaptation and Personalization年度引用
書目名稱User Modeling, Adaptation and Personalization年度引用學(xué)科排名
書目名稱User Modeling, Adaptation and Personalization讀者反饋
書目名稱User Modeling, Adaptation and Personalization讀者反饋學(xué)科排名
作者: 禁令 時(shí)間: 2025-3-21 20:23 作者: FLAX 時(shí)間: 2025-3-22 03:50
Conference proceedings 2015chnologies on a large number of everyday application areas such as: intelligent learning environments, recommender systems, e-commerce, advertising, personalized information retrieval and access, digital humanities, e-government, cultural heritage, and personalized health..作者: 熱烈的歡迎 時(shí)間: 2025-3-22 05:48 作者: 1分開 時(shí)間: 2025-3-22 09:34 作者: ROOF 時(shí)間: 2025-3-22 15:17
Where to Next? A Comparison of Recommendation Strategies for Navigating a Learning Object Repositoryhavior, and alignment to academic standards. An evaluation from subject experts suggests that usage-based recommendations are best aligned with teacher needs, though there are interesting domain interactions that suggest the need for continued investigation.作者: Microaneurysm 時(shí)間: 2025-3-22 21:07 作者: bypass 時(shí)間: 2025-3-22 21:20
Modeling Motivation in a Social Network Game Using Player-Centric Traits and Personality Traitsults show that several player characteristics impact motivation, expressed in terms of enjoyment and effort. We also show that player enjoyment and effort, as predicted by our models, impact players’ in-game behaviors, illustrating both the predictive power and practical utility of our models for guiding user adaptation.作者: expansive 時(shí)間: 2025-3-23 05:16
MENTOR: A Physiologically Controlled Tutoring Systemch involving two groups of learners showed that the group who interacted with the mental state-based adaptive version of the system obtained higher learning outcomes and had a better learning experience than the group who interacted with a non-adaptive version.作者: saphenous-vein 時(shí)間: 2025-3-23 07:34 作者: 人類的發(fā)源 時(shí)間: 2025-3-23 12:49 作者: 使困惑 時(shí)間: 2025-3-23 15:57
Diagrammatic Student Models: Modeling Student Drawing Performance with Deep Learninghitecture, to reason about sequences of student drawing actions encoded with temporal and topological features. An evaluation of the deep-learning-based diagrammatic student models suggests that it can predict student performance more accurately and earlier than competitive baseline approaches.作者: Mawkish 時(shí)間: 2025-3-23 20:22
Exploring the Potential of User Modeling Based on Mind Mapsld be valuable for user-modeling and recommender systems. In this paper, we explored the effectiveness of standard user-modeling approaches applied to mind maps. Additionally, we develop novel user modeling approaches that consider the unique characteristics of mind maps. The approaches are applied 作者: glans-penis 時(shí)間: 2025-3-23 23:57
Modeling Motivation in a Social Network Game Using Player-Centric Traits and Personality Traitsor persona allows game designers to personalize game content; however, there are many ways to characterize players and little guidance on which approaches best model player behavior and preference. To provide knowledge about how player characteristics contribute to game experience, we investigate ho作者: Between 時(shí)間: 2025-3-24 03:47 作者: 溫和女孩 時(shí)間: 2025-3-24 06:42
The Value of Social: Comparing Open Student Modeling and Open Social Student Modelingnown for its ability to increase student engagement, motivation, and knowledge reflection. A recent extension of OSM known as Open Social Student Modeling (OSSM) attempts to enhance cognitive aspects of OSM with social aspects by allowing students to explore models of peer students or the whole clas作者: Myelin 時(shí)間: 2025-3-24 11:42 作者: integral 時(shí)間: 2025-3-24 16:10
Context-Aware User Modeling Strategies for Journey Plan Recommendationext-aware recommendation technologies in an existing journey planning mobile application to provide personalized and context-dependent recommendations to users. We describe two different strategies for context-aware user modeling in the journey planning domain. We present an extensive performance co作者: 同位素 時(shí)間: 2025-3-24 22:45 作者: quiet-sleep 時(shí)間: 2025-3-25 03:13
Dynamic Approaches to Modeling Student Affect and its Changing Role in Learning and Performancey-moment estimates of students’ affective states derived from a series of affect detectors accompany each student response within the tutoring system. By applying a series modified factorial hidden Markov models that account for students’ affective state at the time of the given response and compari作者: MULTI 時(shí)間: 2025-3-25 07:07 作者: Nonporous 時(shí)間: 2025-3-25 10:03
Counteracting Anchoring Effects in Group Decision Making decision bias in the context of group decision scenarios. On the basis of the results of a user study in the domain of software requirements prioritization we discuss results regarding the optimal time when preference information of other users should be disclosed to the current user. Furthermore, 作者: 睨視 時(shí)間: 2025-3-25 13:56
Gifting as a Novel Mechanism for Personalized Museum and Gallery Interpretationet the diverse needs of individual visitors. However, increased personalization can mean that the sociality of museum visits is overlooked. We present a new approach to resolving the tension between the personal and the social that invites visitors themselves to personalize and gift interpretations 作者: 陰險(xiǎn) 時(shí)間: 2025-3-25 17:00 作者: synchronous 時(shí)間: 2025-3-26 00:02 作者: Neutral-Spine 時(shí)間: 2025-3-26 03:19
Towards a Recommender Engine for Personalized Visualizationsy people understand them. However, creating them requires specific expertise of the domain and underlying data to determine the right representation. Although there are rules that help generate them, the results are too broad to account for varying user preferences. To tackle this issue, we propose 作者: 波動(dòng) 時(shí)間: 2025-3-26 04:36 作者: heterogeneous 時(shí)間: 2025-3-26 09:36 作者: 大漩渦 時(shí)間: 2025-3-26 13:28
Where to Next? A Comparison of Recommendation Strategies for Navigating a Learning Object Repository houses over 1250 educational resources. The proposed approaches stem from three basic strategies: recommendations based on resource metadata, user behavior, and alignment to academic standards. An evaluation from subject experts suggests that usage-based recommendations are best aligned with teache作者: 寬敞 時(shí)間: 2025-3-26 20:12
Diagrammatic Student Models: Modeling Student Drawing Performance with Deep Learningnts’ learning and increase their engagement, developing student models to dynamically support drawing holds significant promise. To this end, we introduce ., which reason about students’ drawing trajectories to generate a series of predictions about their conceptual knowledge based on their evolving作者: medieval 時(shí)間: 2025-3-26 21:55
Conference proceedings 2015 in Dublin, Ireland, in June/July 2015..The 25 long and 7 short papers of the research paper track were carefully reviewed and selected from 112 submissions. The papers reflect the conference theme "Contextualizing the World", highlighting the significance and impact of user modeling and adaptive te作者: 錫箔紙 時(shí)間: 2025-3-27 01:23 作者: genesis 時(shí)間: 2025-3-27 07:24 作者: 使乳化 時(shí)間: 2025-3-27 11:37 作者: metropolitan 時(shí)間: 2025-3-27 17:32 作者: GOAT 時(shí)間: 2025-3-27 21:36 作者: esoteric 時(shí)間: 2025-3-27 23:06 作者: modish 時(shí)間: 2025-3-28 02:14 作者: 攀登 時(shí)間: 2025-3-28 09:05
Andy Smith,Wookhee Min,Bradford W. Mott,James C. Lesteres within an external electric field. Note the peculiarities of the asymptotic theory version under consideration. First, in contrast to models, the asymptotic theory uses a strict expansion of the cross section in power series of a small parameter that is inversely proportional to the typical dista作者: 針葉 時(shí)間: 2025-3-28 11:02 作者: Lacerate 時(shí)間: 2025-3-28 15:24 作者: 挖掘 時(shí)間: 2025-3-28 21:09
Francesco Ricci,Kalina Bontcheva,Séamus LawlessIncludes supplementary material: 作者: Canary 時(shí)間: 2025-3-29 02:45
MOOClm: User Modelling for MOOCsnt learner models that can drive personalisation and support reuse of the learner model, for example in an Open Learner Model (OLM). We describe the MOOClm architecture and demonstrate how we have used it to build OLMs.作者: 圓錐體 時(shí)間: 2025-3-29 06:38 作者: 疏忽 時(shí)間: 2025-3-29 09:13
User Modeling, Adaptation and Personalization978-3-319-20267-9Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 怒目而視 時(shí)間: 2025-3-29 15:16
Exploring the Potential of User Modeling Based on Mind Maps higher CTR of 7.20% could be achieved. A user study confirmed the high effectiveness of the mind map specific approach with an average rating of 3.23 (out of 5), compared to a rating of 2.53 for the best baseline. Our research shows that mind map-specific user modeling has a high potential, and we 作者: 窩轉(zhuǎn)脊椎動(dòng)物 時(shí)間: 2025-3-29 16:39 作者: cringe 時(shí)間: 2025-3-29 20:49
Gifting as a Novel Mechanism for Personalized Museum and Gallery Interpretationheir interpersonal knowledge of one another. Our findings suggest that the deep level of personalization generated by our approach can create rich, engaging and socially coherent visits that allow visitors to achieve a balance of goals. We conclude by discussing the broader implications of our findi作者: Commentary 時(shí)間: 2025-3-30 02:16
Supporting Cross-Device Web Search with Social Navigation-Based Mobile Touch Interactionsgregates MTIs from other users who visit the same page. To demonstrate the effectiveness of our proposed approach, we designed a user study to collect cross-device web search logs on three different types of tasks from 24 participants and then compared our approach with two baselines: a traditional 作者: Angiogenesis 時(shí)間: 2025-3-30 07:36 作者: 邪惡的你 時(shí)間: 2025-3-30 10:47
MobiScore: Towards Universal Credit Scoring from Mobile Phone Datanance-based scores. We validate the proposed approach using real data from a telecommunications operator and a financial institution in a Latin American country, resulting in an accurate model of default comparable to traditional credit scoring techniques.作者: CHASM 時(shí)間: 2025-3-30 15:52
Joeran Beel,Stefan Langer,Georgia Kapitsaki,Corinna Breitinger,Bela GippVolume: 84作者: 尖牙 時(shí)間: 2025-3-30 18:54
Max V. Birk,Dereck Toker,Regan L. Mandryk,Cristina ConatiVolume: 85作者: 神圣不可 時(shí)間: 2025-3-30 22:42 作者: Outspoken 時(shí)間: 2025-3-31 02:55 作者: fatuity 時(shí)間: 2025-3-31 07:37 作者: 用肘 時(shí)間: 2025-3-31 11:33 作者: 包庇 時(shí)間: 2025-3-31 14:05
Luc Paquette,Ryan S. Baker,Adriana de Carvalho,Jaclyn OcumpaughVolume: 98
