Task-Oriented User Modeling Method and Its Application to Service Navigation on the Web

Author(s):  
Munehiko Sasajima ◽  
Yoshinobu Kitamura ◽  
Riichiro Mizoguchi
Author(s):  
Munehiko Sasajima ◽  
Yoshinobu Kitamura ◽  
Takefumi Naganuma ◽  
Shoji Kurakake ◽  
Riichiro Mizoguchi

Author(s):  
Munehiko SASAJIMA ◽  
Yoshinobu KITAMURA ◽  
Takefumi NAGANUMA ◽  
Shoji KURAKAKE ◽  
Riichiro MIZOGUCHI

2009 ◽  
Author(s):  
Stanislav Ustymenko ◽  
Daniel G. Schwartz ◽  
George Maroulis ◽  
Theodore E. Simos

2014 ◽  
Vol 912-914 ◽  
pp. 1710-1713
Author(s):  
Qing Zhang ◽  
Sui Huai Yu ◽  
Ming Jiu Yu

During the design processing of the future exploratory products, requirements from users seems to be a key factor for products availability achievement. As a practical user modeling method, Persona may accomplish the potential needs data mining effectively based on the analyzing of users. This review mainly focused on how to apply the persona in the exploratory products investigation to acquire useful information from the products design. The method to establish persona and the operating rules were also discussed in this article. The concept of the mobile internet device in future was used as an case to demonstrate the persona mentioned above.


Author(s):  
Xin Jin ◽  
Yanzan Zhou ◽  
Bamshad Mobasher
Keyword(s):  

Author(s):  
FABIO GASPARETTI ◽  
ALESSANDRO MICARELLI

Personalization is the ability to retrieve information content related to users' profile and facilitate their information-seeking activities. Several environments, such as the Web, take advantage of personalization techniques because of the large amount of available information. For this reason, there is a growing interest in providing automated personalization processes during the human-computer interaction. In this paper we introduce a new approach for user modeling, which grounds in the Search of Associative Memory (SAM) theory. By means of implicit feedback techniques, the approach is able to unobtrusively recognize user needs and monitor the user working context in order to provide important information useful to personalize traditional search tools and implement recommender systems. Experimental results based on precision and recall measures indicate improvements in comparison with traditional user models.


Author(s):  
Yasufumi Takama ◽  
◽  
Suzuto Shimizu

This paper proposes a personal values-based user modeling method from user’s browsing history of reviews. Personal values-based user modeling and its application to recommender systems have been studied. This approach models users’ personal values as the effect of item’s attributes on their decision making. While existing method obtains a user model from reviews posted by a user, this paper proposes to obtain it from reviews a user consulted for his/her decision making. Methods for determining reviews to present for obtaining user feedback, as well as for selecting items to recommend are proposed, of which effectiveness are shown with user experiments.


2014 ◽  
Vol 644-650 ◽  
pp. 2459-2462
Author(s):  
Yu Zhu ◽  
Tie Ning Wang

In the view of the current support process of spare parts is not comprehensive enough, all aspects without linking with each other, the resources without being shared, spare parts with slow turnaround and high inventory levels, which results in low economic efficiency. Therefore, considering the modern information technology and network technology, the document research on the spare parts support process optimization, which is to make the process more scientific and reasonable, support resources more economical, and respond more sensitive, thereby increasing military and economic benefit of the spare parts support. By means of analyzing three major elements of the spare parts support process modeling including perception task, spare parts resources, business processes, and analysis of several major process modeling method, the document raise the modeling method of petri nets for the task-oriented spare parts support process.


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