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Development of a Recommender System based on Extending Contexts of Content and Personal History

Katsuaki Tanaka, Koichi Hori, Masato Yamamoto
2010 Journal of Emerging Technologies in Web Intelligence  
We have developed a recommender system that captures personal context from a history of personal online and offline activities, treats information on Web sites as a large set of context, and discovers  ...  One way to redress the balance between a person and the flood is a computer-based recommender system, and many Web sites use such systems. These systems on a Web site work for similar items.  ...  Thus, using a recommender system for computer-based content selection and presentation is a way to strike a balance between content generated by other people and a user [2] .  ... 
doi:10.4304/jetwi.2.3.197-203 fatcat:g3zy2poa4bhc7hmxfcl4xlf23i

Unified Context-Aware Augmented Reality Application Framework for User-Driven Tour Guides

Choonsung Shin, Hyejin Kim, Changgu Kang, Youngkyoon Jang, Ahyoung Choi, Woontack Woo
2010 2010 International Symposium on Ubiquitous Virtual Reality  
It helps a user find personal interesting artifacts in art galleries by exploiting context-based behavior generation.  ...  We propose a unified context-aware augmented reality application framework that supports intelligent guidance and enables users to participate in content generation in museum guidance.  ...  Content Adaptation After recognizing an object and being aware of a user's situation, appropriate contents are selected and customized based on a final context from the Context-Awareness component.  ... 
doi:10.1109/isuvr.2010.22 fatcat:rdrdr5kkirhc3ieu5rgeq5mvju

Context-Aware Augmented Reality Authoring Tool in Digital Ecosystem

Jonghee Park, Changgu Kang, Sejin Oh, Hyeongmook Lee, Woontack Woo
2010 2010 International Symposium on Ubiquitous Virtual Reality  
In this paper, we propose a context-aware authoring tool which users make virtual contents in-situ.  ...  We expect that the contents will be adaptive and responsible to dynamic environment. It will be applicable for many industries such as book publication, in-situ simulation and so on.  ...  In addition, the users can register several virtual contents based on the generated 3D coordinate system.  ... 
doi:10.1109/isuvr.2010.14 fatcat:rhxp4vx6onbkdnbvbe7r22l5ma

Towards the ubiquitous visualization: Adaptive user-interfaces based on the Semantic Web

Ramón Hervás, José Bravo
2011 Interacting with computers  
A suitable context model is not enough; proactive user interface adaptation is necessary to offer personalized information to the user.  ...  Additionally, we present the ViMos framework, an infrastructure to generate context-powered information visualization services dynamically.  ...  All items of content related to these users have been pre-selected and are filtered based on their context.  ... 
doi:10.1016/j.intcom.2010.08.002 fatcat:o4wdjs7rdvgbferx4ki27jvu2q

Smart Content Selection for Public Displays in Ambient Intelligence Environments

Fernando Reinaldo Ribeiro, Rui José
2013 International Journal of Ambient Computing and Intelligence (IJACI)  
However, realising or even approaching this ability to autonomously select appropriate content based on some interpretation of the surrounding social context represents a major challenge.  ...  It also describes a novel place-based content adaptation system that autonomously selects from web sources the content deemed more relevant according to a dynamic place model.  ...  With this type of context-based rules content can be selected according to the continuously changing context around the display.  ... 
doi:10.4018/jaci.2013040103 fatcat:vgxh5yvkgncnll6rudw5zejpea

Context-aware Mobile AR system for Personalization, Selective Sharing, and Interaction of Contents in Ubiquitous Computing Environments [chapter]

Youngjung Suh, Youngmin Park, Hyoseok Yoon, Woontack Woo
2008 Human Computer Interaction  
For selective sharing of media contents in the ubiquitous computing systems, users generally do not like to explicitly inform the system of whether or not they would like to share the contents through  ...  UMPC ARTable User detection Selective sharing based on group context Community construction Personalized contents augmentation Fig. 11 .  ...  The book covers topics such us modeling and practical realization of robotic control for different applications, researching of the problems of stability and robustness, automation in algorithm and program  ... 
doi:10.5772/6296 fatcat:att7krrjr5cwhahfcq4fjiwoo4

A user-centric evaluation of context-aware recommendations for a mobile news service

Toon De Pessemier, Cédric Courtois, Kris Vanhecke, Kristin Van Damme, Luc Martens, Lieven De Marez
2015 Multimedia tools and applications  
The context-aware content-based recommendations did not significantly outperform the content-based recommendations in our user study.  ...  using the actual user behavior but ignoring the context, and context-aware content-based recommendations incorporating user behavior as well as context.  ...  ACKNOWLEDGMENTS This research was performed in the context of the iMinds-MIX Stream Store project.  ... 
doi:10.1007/s11042-014-2437-9 fatcat:gad7m2zevje65ppluiorvuip34

Extending the Bayesian Classifier to a Context-Aware Recommender System for Mobile Devices

Toon De Pessemier, Tom Deryckere, Luc Martens
2010 2010 Fifth International Conference on Internet and Web Applications and Services  
context (like time, location, and mood of the user) to make the suggestions more accurate.  ...  Because of the enormous offer of video content, the lack of sufficient presentation space on the screen, and the laborious navigation on mobile devices, the video consumption process becomes more complicated  ...  ACKNOWLEDGMENT We would like to thank the Research Foundation -Flanders (FWO), for the research position of Toon De Pessemier (Aspirant FWO).  ... 
doi:10.1109/iciw.2010.43 fatcat:qer6oenjazh7hd2lg7xtzqohpy

Adaptive website recommendations with AWESOME

Andreas Thor, Nick Golovin, Erhard Rahm
2005 The VLDB journal  
Recommendations are dynamically selected by efficient rule-based approaches utilizing continuously measured user feedback on presented recommendations.  ...  AWESOME supports a completely automatic generation and optimization of selection rules to minimize website administration overhead and quickly adapt to changing situations.  ...  Content-based recommenders may also use generalized information on the content category (e.g., to recommend products within the current content category).  ... 
doi:10.1007/s00778-005-0160-x fatcat:u4eaiirmfvautow2ug3sncsobm

Natural Language Query Recommendation in Conversation Systems

Shimei Pan, James Shaw
2007 International Joint Conference on Artificial Intelligence  
When an interpretation error occurs, users often get stuck and cannot recover due to a lack of guidance from the system.  ...  Our evaluation results demonstrate the effectiveness of this approach.  ...  Classification-based Content Selection Content selection is critical in recommendation generation.  ... 
dblp:conf/ijcai/PanS07 fatcat:if4cr3zwnzbxrknk7aqb66x654

User-Centric Conflict Management for Media Services Using Personal Companions

Choonsung Shin, Hyoseok Yoon, Woontack Woo
2007 ETRI Journal  
To detect conflicts based on the varying characteristics of individual users, the proposed method exploits the unified context describing all users attempting to access media services.  ...  Mediation assists the selection of a consensual service by gathering the users' selections and highlighting the common media contents.  ...  In the case of service recommendations, it generates a Conflict-free context recommendation list of media contents based on the user preferences included in the unified contexts.  ... 
doi:10.4218/etrij.07.0506.0023 fatcat:truhvzh5dvdmrdssumi6pq2f5e

A Generic Transcoding Tool for Making Web Applications Adaptive

Zoltán Fiala, Geert-Jan Houben
2005 International Conference on Advanced Information Systems Engineering  
For configuring the GAC an RDF-based rule language is presented, allowing to define both content adaptation and context data update rules.  ...  Moreover, based on the document generation architecture of the AMACONT project a collection of transformation operations is provided to realize these rules.  ...  It processes XML-based Web content provided by some Web application content generator and adjusts it to the preferences and properties of individual users and their clients.  ... 
dblp:conf/caise/FialaH05 fatcat:x44a3o4gzrgi7ejucsip7qx4au

Awesome—A Data Warehouse-based System for Adaptive Webstite Recommendations [chapter]

Andreas Thor, Erhard Rahm
2004 Proceedings 2004 VLDB Conference  
We propose and evaluate several rule-based schemes for dynamically selecting the most promising recommendations.  ...  The evaluation is performed with AWESOME (Adaptive website recommendations), a new data warehouse-based recommendation system capturing and evaluating user feedback on presented recommendations.  ...  Content-based recommenders may also use generalized information on the content category (e.g., to recommend products within the current content category).  ... 
doi:10.1016/b978-012088469-8.50036-x dblp:conf/vldb/ThorR04 fatcat:6uktkazef5ayfdce2cgijzo6pi

Context-driven smart authoring of multimedia content with xSMART

Ansgar Scherp, Susanne Boll
2005 Proceedings of the 13th annual ACM international conference on Multimedia - MULTIMEDIA '05  
Up to today, these system's integration of the targeted user context, however, is limited.  ...  These wizards realize the user interface that meets best the domain-specific requirements and effectively supports the domain experts in creating their content targeted at a specific user context.  ...  Fig. 1 depicts the general context-driven authoring process of multimedia content and the integration of user context: In the selection phase, the targeted user context can be used to narrow down the  ... 
doi:10.1145/1101149.1101323 dblp:conf/mm/ScherpB05 fatcat:55ggbr6zsbfevlh6xw7nypabyu

Reinforcement learning architecture for Web recommendations

N. Golovin, E. Rahm
2004 International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004.  
A large number of websites use online recommendations to make web users interested in their products or content.  ...  We describe the general architecture of the system, the database structure, the learning algorithm and the test setting for assessing the quality of the approach.  ...  These algorithms generate recommendations either based on the past user behavior (top-N, sequence patterns, collaborative filtering) or on website content analysis (content similarity).  ... 
doi:10.1109/itcc.2004.1286487 dblp:conf/itcc/GolovinR04 fatcat:q4mo3pmzh5czzohklgs4c6rln4
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