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- ACM Conference on Recommender Systems (RecSys)
- International Conference on Intelligent User Interfaces (IUI)
also: Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces (HUMANIZE @ IUI) - International Conference on Database and Expert Systems Applications (DEXA)
- User Modeling, Adaptation, and Personalization (UMAP)
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Publication search results
found 2,820 matches
- 2022
- Yegor Tkachenko:
Machine Learning Algorithms for Efficient Acquisition and Ethical Use of Personal Information in Decision Making. Columbia University, USA, 2022 - Saravanan Sagadevan, Nurul Hashimah Ahamed Hassain Malim
, Mohd Heikal Husin:
A Seed-Guided Latent Dirichlet Allocation Approach to Predict the Personality of Online Users Using the PEN Model. Algorithms 15(3): 87 (2022) - Iosif Viktoratos, Athanasios Tsadiras:
A Machine Learning Approach for Solving the Frozen User Cold-Start Problem in Personalized Mobile Advertising Systems. Algorithms 15(3): 72 (2022) - Yinuo Li, Jin-Kao Hao
:
Multi-neighborhood simulated annealing for personalized user project planning. Appl. Soft Comput. 119: 108566 (2022) - Eugene Cho
, S. Shyam Sundar
:
How do we like our online dates - customized or personalized? The differential effects of user vs. system tailoring on date preferences. Comput. Hum. Behav. 127: 107037 (2022) - Rhea Mahajan, Remia Mahajan, Eishita Sharma, Vibhakar Mansotra:
"Are we tweeting our real selves?" personality prediction of Indian Twitter users using deep learning ensemble model. Comput. Hum. Behav. 128: 107101 (2022) - Rafal Urbaniak
, Michal Ptaszynski
, Patrycja Tempska, Gniewosz Leliwa, Maciej Brochocki
, Michal Wroczynski:
Personal attacks decrease user activity in social networking platforms. Comput. Hum. Behav. 126: 106972 (2022) - M. A. Sanjeev, Shahnaz Khademizadeh, Thangaraja Arumugam, D. K. Tripathi:
Generation Z and intention to use the digital library: does personality matter? Electron. Libr. 40(1/2): 18-37 (2022) - Olivia Hornung, Stefan Smolnik:
AI invading the workplace: negative emotions towards the organizational use of personal virtual assistants. Electron. Mark. 32(1): 123-138 (2022) - Yi Sun, Shihui Li, Lingling Yu:
The dark sides of AI personal assistant: effects of service failure on user continuance intention. Electron. Mark. 32(1): 17-39 (2022) - Duygu Çelik Ertugrul
, Demet Çelik Ulusoy
:
A knowledge-based self-pre-diagnosis system to predict Covid-19 in smartphone users using personal data and observed symptoms. Expert Syst. J. Knowl. Eng. 39(3) (2022) - Xiao Pan, Lei Wu, Fenjie Long, Ma Ang:
Exploiting user behavior learning for personalized trajectory recommendations. Frontiers Comput. Sci. 16(3): 163610 (2022) - Damjan Fujs, Simon Vrhovec, Damjan Vavpotic:
Towards personalized user training for secure use of information systems. Int. Arab J. Inf. Technol. 19(3): 307-313 (2022) - Ramon Sanchez-Iborra
, Antonio F. Skarmeta:
Who is wearing me? TinyDL-based user recognition in constrained personal devices. IET Comput. Digit. Tech. 16(1): 1-9 (2022) - Muhammad Ashfaq
, Qingyu Zhang
, Abaid Ullah Zafar
, Mehwish Malik
, Abdul Waheed
:
Understanding Ant Forest continuance: effects of user experience, personal attributes and motivational factors. Ind. Manag. Data Syst. 122(2): 471-498 (2022) - Md. Abu Saeed Palash
, Md. Shamim Talukder
, A. K. M. Najmul Islam, Yukun Bao
:
Positive and negative valences, personal innovativeness and intention to use facial recognition for payments. Ind. Manag. Data Syst. 122(4): 1081-1108 (2022) - Lixin Zhou, Zhenyu Zhang, Laijun Zhao, Pingle Yang:
Attention-based BiLSTM models for personality recognition from user-generated content. Inf. Sci. 596: 460-471 (2022) - Wendy Hugoosgift Contreras
, Ester Sarquella, Eva Binefa, Mar Entrambasaguas, Anette Stjerne, Peter Booth:
The Impact on Ambulance Mobilisations of an Increasing Age Profile of Telecare Service Users Receiving Advanced Proactive, Personalised Telecare in Spain - a Longitudinal Study 2014-2018. J. Heal. Informatics Res. 6(2): 153-173 (2022) - Kazuma Ohtomo
, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama, Masahiro Iwahashi:
User-centric multimodal feature extraction for personalized retrieval of tumblr posts. Multim. Tools Appl. 81(2): 2979-3003 (2022) - Shari S. C. Shang, Lynn S. L. Chiu:
Leveraging Smart Technology for User Experience Personalization - A Comparative Case Study of Innovative Payment Systems. Pac. Asia J. Assoc. Inf. Syst. 14(1): 6 (2022) - Jacob Leon Kröger, Leon Gellrich, Sebastian Pape, Saba Rebecca Brause, Stefan Ullrich:
Personal information inference from voice recordings: User awareness and privacy concerns. Proc. Priv. Enhancing Technol. 2022(1): 6-27 (2022) - Liangyi Luo, Kohei Ogawa, Hiroshi Ishiguro:
Identifying Personality Dimensions for Engineering Robot Personalities in Significant Quantities with Small User Groups. Robotics 11(1): 28 (2022) - Jinsu Kim, Namje Park
:
De-Identification Mechanism of User Data in Video Systems According to Risk Level for Preventing Leakage of Personal Healthcare Information. Sensors 22(7): 2589 (2022) - Bon Sy
, Michael Wassil, Helene Connelly, Alisha Hassan:
Behavioral Predictive Analytics Towards Personalization for Self-management: a Use Case on Linking Health-Related Social Needs. SN Comput. Sci. 3(3): 237 (2022) - Jingshuo Feng
, Xi Zhu, Feilong Wang, Shuai Huang
, Cynthia Chen:
A Learning Framework for Personalized Random Utility Maximization (RUM) Modeling of User Behavior. IEEE Trans Autom. Sci. Eng. 19(1): 510-521 (2022) - Christoph Wagner
, Lydia Stappenbeck, Harald Wenzel, Peter Steiner, Bernhard Lehnert, Peter Birkholz
:
Evaluation of a Non-Personalized Optopalatographic Device for Prospective Use in Functional Post-Stroke Dysphagia Therapy. IEEE Trans. Biomed. Eng. 69(1): 356-365 (2022) - Litao Zhu
, Jie Shen, Jingyi Zhou, Zdenek Stachon, Shuai Hong, Xing Wang:
Personalized landmark adaptive visualization method for pedestrian navigation maps: Considering user familiarity. Trans. GIS 26(2): 669-690 (2022) - Nathan L. Tenhundfeld, Hannah M. Barr, Emily H. O'Hear, Kristin Weger:
Is My Siri the Same as Your Siri? An Exploration of Users' Mental Model of Virtual Personal Assistants, Implications for Trust. IEEE Trans. Hum. Mach. Syst. 52(3): 512-521 (2022) - Onuralp Ulusoy
, Pinar Yolum:
PANOLA: A Personal Assistant for Supporting Users in Preserving Privacy. ACM Trans. Internet Techn. 22(1): 27:1-27:32 (2022) - Martijn Millecamp
, Cristina Conati
, Katrien Verbert
:
"Knowing me, knowing you": personalized explanations for a music recommender system. User Model. User Adapt. Interact. 32(1): 215-252 (2022)
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