Titlebook: User Modeling, Adaptation and Personalization; 19th International C Joseph A. Konstan,Ricardo Conejo,Nuria Oliver Conference proceedings 20

MEDAL

书目名称User Modeling, Adaptation and Personalization影响因子(影响力)




书目名称User Modeling, Adaptation and Personalization影响因子(影响力)学科排名




书目名称User Modeling, Adaptation and Personalization网络公开度




书目名称User Modeling, Adaptation and Personalization网络公开度学科排名




书目名称User Modeling, Adaptation and Personalization被引频次




书目名称User Modeling, Adaptation and Personalization被引频次学科排名




书目名称User Modeling, Adaptation and Personalization年度引用




书目名称User Modeling, Adaptation and Personalization年度引用学科排名




书目名称User Modeling, Adaptation and Personalization读者反馈




书目名称User Modeling, Adaptation and Personalization读者反馈学科排名

EWE

The Impact of Rating Scales on User’s Rating BehaviorIn this paper we present two user studies that investigate the role of rating scales on user’s rating behavior, showing that the rating scales have their own “personality” and mathematical normalization is not enough to cope with mapping among different rating scales.

harpsichord

Console

Conference proceedings 2011m 164 submissions. The tutorials and workshops were organized in topical sections on designing adaptive social applications, semantic adaptive social Web, and designing and evaluating new generation user modeling..

Aggrandize

Modeling Mental Workload Using EEG Features for Intelligent Systemsdata were gathered from 17 participants who performed different cognitive tasks. We also explore the application of our model in a non laboratory context by analyzing the behavior of our model in an educational context. Our findings have implications for intelligent tutoring systems seeking to continuously assess and adapt to a learner’s state.

indecipherable

依法逮捕

手榴弹

Corral

machination

Leveraging Collaborative Filtering to Tag-Based Personalized Searchotations of tags for items from other similar items. We then apply the latency of tags to a tag-based personalized ranking depending on individual users. Experimental results demonstrate the feasibility of our method for personalized searches in social media services.