User-Model-Based Evaluation for Interactive Image Retrieval

2010 ◽  
Author(s):  
Masashi Inoue ◽  
Manh Hong Nguyen
Keyword(s):  
Image Retrieval ◽  
User Model ◽  
Model Based

Image retrieval model based on weighted visual features determined by relevance feedback

2008 ◽  
Vol 178 (22) ◽  
pp. 4301-4313 ◽  
Author(s):  
Woo-Cheol Kim ◽  
Ji-Young Song ◽  
Seung-Woo Kim ◽  
Sanghyun Park
Keyword(s):  
Image Retrieval ◽  
Relevance Feedback ◽  
Visual Features ◽  
Retrieval Model ◽  
Model Based

A Personalized Recommendation Model Based on Contextual Information

2015 ◽  
Vol 713-715 ◽  
pp. 1530-1533
Author(s):  
Yuan Zi He
Keyword(s):  
Recommender System ◽  
Information Overload ◽  
Contextual Information ◽  
User Model ◽  
Personalized Recommendation ◽  
Contextual Data ◽  
Model Based ◽  
Structure Text ◽  
Novel Model

Personalized recommendation offers a new way to solve the problem of information overload. In order to effectively build user model and improve the effect of personalized recommendation, this paper proposes a novel model for mining contextual information of non-structure text, and insects the contextual information into user model, which enriches user model. The experiment results shown that the model can greatly improve the recommendation performance when the model is applied to contextual data of the recommender system in hotel.

The Building of User Model of Personalized Learning Teaching System Based on Data Mining

2013 ◽  
Vol 756-759 ◽  
pp. 2047-2050
Author(s):  
Wen Yan Rui ◽  
Hai Ying Mi
Keyword(s):  
Data Mining ◽  
User Behavior ◽  
Relevant Information ◽  
Personalized Learning ◽  
User Model ◽  
Teaching System ◽  
Individual User ◽  
Model Based

This paper analyzes the structure of the whole system, namely, how different users according to their own characteristics of its initiative to provide users with relevant information and content and to establish individual user model, based on user behavior to build personalized user model.

A dual-layer user model based cognitive system for user-adaptive service robots

2011 RO-MAN ◽  
2011 ◽  
Author(s):  
Seong-Yong Koo ◽  
Kiru Park ◽  
Hyun Kim ◽  
Dong-Soo Kwon
Keyword(s):  
User Model ◽  
Cognitive System ◽  
Service Robots ◽  
Model Based
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