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User Modeling and User-Adapted Interaction最新文献

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A human-centered decentralized architecture and recommendation engine in SIoT SIoT中以人为中心的分散式架构和推荐引擎
IF 3.6 3区 计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2022-04-09 DOI: 10.1007/s11257-022-09320-3
Daniel Defiebre, Dimitris Sacharidis, Panagiotis Germanakos
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引用次数: 2
Extended recommendation-by-explanation 扩展recommendation-by-explanation
IF 3.6 3区 计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2022-03-07 DOI: 10.1007/s11257-021-09317-4
Arpit Rana, R. M. D'Addio, M. Manzato, D. Bridge
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引用次数: 2
EvoRecSys: Evolutionary framework for health and well-being recommender systems EvoRecSys:健康和幸福推荐系统的进化框架
IF 3.6 3区 计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2022-01-31 DOI: 10.1007/s11257-021-09318-3
Hugo Alcaraz-Herrera, J. Cartlidge, Z. Toumpakari, Max Western, I. Palomares
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引用次数: 13
Scalable stream-based recommendations with random walks on incremental graph of sequential interactions with implicit feedback 可扩展的基于流的推荐与随机漫步的增量图与隐式反馈的顺序交互
IF 3.6 3区 计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2022-01-13 DOI: 10.1007/s11257-021-09315-6
M. F. L. Schmitt, E. Spinosa
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引用次数: 3
Embarrassingly shallow auto-encoders for dynamic collaborative filtering 用于动态协作过滤的浅得令人尴尬的自动编码器
IF 3.6 3区 计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2022-01-13 DOI: 10.1007/s11257-021-09314-7
Olivier Jeunen, Jan Van Balen, Bart Goethals
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引用次数: 4
Rank-sensitive proportional aggregations in dynamic recommendation scenarios 动态推荐场景中的秩敏感比例聚合
IF 3.6 3区 计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2022-01-01 DOI: 10.1007/s11257-021-09311-w
Stepán Balcar, Vít Skrhak, Ladislav Peška
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引用次数: 4
Recommendations for marathon runners: on the application of recommender systems and machine learning to support recreational marathon runners. 马拉松运动员的推荐:关于推荐系统和机器学习的应用,以支持休闲马拉松运动员。
IF 3.6 3区 计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2022-01-01 Epub Date: 2021-08-18 DOI: 10.1007/s11257-021-09299-3
Barry Smyth, Aonghus Lawlor, Jakim Berndsen, Ciara Feely

Every year millions of people, from all walks of life, spend months training to run a traditional marathon. For some it is about becoming fit enough to complete the gruelling 26.2 mile (42.2 km) distance. For others, it is about improving their fitness, to achieve a new personal-best finish-time. In this paper, we argue that the complexities of training for a marathon, combined with the availability of real-time activity data, provide a unique and worthwhile opportunity for machine learning and for recommender systems techniques to support runners as they train, race, and recover. We present a number of case studies-a mix of original research plus some recent results-to highlight what can be achieved using the type of activity data that is routinely collected by the current generation of mobile fitness apps, smart watches, and wearable sensors.

每年都有数百万来自各行各业的人花几个月的时间进行传统的马拉松训练。对一些人来说,这是为了保持足够的健康来完成26.2英里(42.2公里)的艰苦距离。对另一些人来说,这是为了提高他们的健康水平,达到一个新的个人最佳完成时间。在本文中,我们认为马拉松训练的复杂性,结合实时活动数据的可用性,为机器学习和推荐系统技术提供了一个独特而有价值的机会,以支持跑步者的训练、比赛和恢复。我们展示了一些案例研究——原始研究和一些最新结果的混合——以强调使用当前一代移动健身应用程序、智能手表和可穿戴传感器常规收集的活动数据类型可以实现什么。
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引用次数: 11
Dynamic aspect-based rating system and visualization 基于动态方面的评分系统和可视化
IF 3.6 3区 计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2021-11-09 DOI: 10.1007/s11257-021-09308-5
W. Maharani, D. H. Widyantoro, M. L. Khodra
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引用次数: 1
Transferring recommendations through privacy user models across domains 通过跨域的隐私用户模型传输建议
IF 3.6 3区 计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2021-11-08 DOI: 10.1007/s11257-021-09307-6
Frederic Raber, Antonio Krüger
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引用次数: 2
Online convex combination of ranking models 在线凸组合排序模型
IF 3.6 3区 计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS Pub Date : 2021-11-06 DOI: 10.1007/s11257-021-09306-7
Erzsébet Frigó, Levente Kocsis
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引用次数: 2
期刊
User Modeling and User-Adapted Interaction
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