Visualization, Estimation and User-Modeling for Interactive Browsing of Image Libraries

2002 ◽  
pp. 7-16 ◽  
Author(s):  
Qi Tian ◽  
Baback Moghaddam ◽  
Thomas S. Huang
Keyword(s):  
User Modeling ◽  
Image Libraries ◽  
Interactive Browsing

Visualization, Estimation and User Modeling for Interactive Browsing of Personal Photo Libraries

2011 ◽  
pp. 193-222
Author(s):  
Qi Tian ◽  
Baback Moghaddam ◽  
Neal Lesh ◽  
Chia Shen ◽  
Thomas S. Huang
Keyword(s):  
Image Retrieval ◽  
Digital Media ◽  
User Modeling ◽  
Content Based Image Retrieval ◽  
Time Varying ◽  
Digital Collections ◽  
Face To Face ◽  
Retrieval Systems ◽  
Interactive Browsing ◽  
Interactive Navigation

Recent advances in technology have made it possible to easily amass large collections of digital media. These media offer new opportunities and place great demands for new digital content user-interface and management systems which can help people construct, organize, navigate, and share digital collections in an interactive, face-to-face social setting. In this chapter, we have developed a user-centric algorithm for visualization and layout for content-based image retrieval (CBIR) in large photo libraries. Optimized layouts reflect mutual similarities as displayed on a two-dimensional (2D) screen, hence providing a perceptually intuitive visualization as compared to traditional sequential one-dimensional (1D) content-based image retrieval systems. A frameworkfor user modeling also allows our system to learn and adapt to a user’s preferences. The resulting retrieval, browsing and visualization can adapt to the user’s (time-varying) notions of content, context and preferences in style and interactive navigation.

Visualization, Estimation and User Modeling for Interactive Browsing of Personal Photo Libraries

2008 ◽  
pp. 1508-1533
Author(s):  
Qi Tian ◽  
Baback Moghaddam ◽  
Neal Lesh ◽  
Chia Shen
Keyword(s):  
Image Retrieval ◽  
Digital Media ◽  
User Modeling ◽  
Content Based Image Retrieval ◽  
Time Varying ◽  
Digital Collections ◽  
Face To Face ◽  
Retrieval Systems ◽  
Interactive Browsing ◽  
Interactive Navigation

Recent advances in technology have made it possible to easily amass large collections of digital media. These media offer new opportunities and place great demands for new digital content user-interface and management systems which can help people construct, organize, navigate, and share digital collections in an interactive, face-to-face social setting. In this chapter, we have developed a user-centric algorithm for visualization and layout for content-based image retrieval (CBIR) in large photo libraries. Optimized layouts reflect mutual similarities as displayed on a two-dimensional (2D) screen, hence providing a perceptually intuitive visualization as compared to traditional sequential one-dimensional (1D) content-based image retrieval systems. A frameworkfor user modeling also allows our system to learn and adapt to a user’s preferences. The resulting retrieval, browsing and visualization can adapt to the user’s (time-varying) notions of content, context and preferences in style and interactive navigation.

scholarly journals FairUMAP 2020: The 3rd Workshop on Fairness in User Modeling, Adaptation and Personalization

2020 ◽  
Author(s):  
Bamshad Mobasher ◽  
Styliani Kleanthous ◽  
Michael Ekstrand ◽  
Bettina Berendt ◽  
Jahna Otterbacher ◽  
...  
Keyword(s):  
User Modeling

User Identity Linkage across Social Media via Attentive Time-aware User Modeling

2020 ◽  
pp. 1-1
Author(s):  
Xiaolin Chen ◽  
Xuemeng Song ◽  
Siwei Cui ◽  
Tian Gan ◽  
Zhiyong Cheng ◽  
...  
Keyword(s):  
Social Media ◽  
User Modeling ◽  
Time Aware

Towards Queryable User Profiles: Introducing Conversational Agents in a Platform for Holistic User Modeling

2020 ◽  
Author(s):  
Cataldo Musto ◽  
Fedelucio Narducci ◽  
Marco Polignano ◽  
Marco de Gemmis ◽  
Pasquale Lops ◽  
...  
Keyword(s):  
User Modeling ◽  
User Profiles ◽  
Conversational Agents

scholarly journals Social media as author-audience games

2021 ◽  
Author(s):  
Andre F. Ribeiro
Keyword(s):  
Social Media ◽  
User Modeling ◽  
Large Scale ◽  
Shared Content ◽  
Current Content

AbstractWe present an approach for the prediction of user authorship and feedback behavior with shared content. We consider that users use models of other users and their feedback to choose what to publish next. We look at the problem as a game between authors and audiences and relate it to current content-based user modeling solutions with no prior strategic models. As applications, we consider the large-scale authorship of Wikipedia pages, movies and food recipes. We demonstrate analytic properties, authorship and feedback prediction results, and an overall framework to study content authorship regularities in social media.

Efficient Dialog Policy Learning with Hindsight, User Modeling, and Adaptation

2021 ◽  
pp. 1-1
Author(s):  
Keting Lu ◽  
Yan Cao ◽  
Xiaoping Chen ◽  
Shiqi Zhang
Keyword(s):  
User Modeling ◽  
Policy Learning

scholarly journals An LDAP-based User Modeling Server and its Evaluation

2006 ◽  
Vol 16 (2) ◽  
pp. 129-169 ◽  
Author(s):  
Alfred Kobsa ◽  
Josef Fink
Keyword(s):  
User Modeling ◽  
User Modeling Server
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