Add to ORKGIn a competitive environment, providing suitable information and products to meet cus-tomer’s requirements and improve customer satisfaction is one key factor to measure a com-pany’s competitiveness. In this paper, we propose a preference perception system by com-bining fuzzy set with data mining technology to detect the information preference of each user actively on a web-based environment. An experiment was implemented to demonstrate the feasibility and effectiveness of the proposed system in this study. It indicates that the proposed system can effectively perceive the change of information preference for users in a web environment
AbstractLarge amounts and varieties of data have gained the interest of various industrial companies...
AbstractWe propose a new method for modelling users' preferences on attributes that contain more tha...
With the gigantic growth of the E-commerce market, E-commerce websites are becoming more and more nu...
In a competitive environment, how to provide the information and products to meet the requirements o...
This paper proposes a novel application of fuzzy logic to web data mining for two basic problems of ...
Due to the continual growth of the popularity of the Internet, commercial as well as industrial comp...
Abstract- Some of the requirements during preferences discovery or preference modeling through machi...
Analyzing and predicting navigational behavior of Web users can lead to more user friendly and effic...
In this paper, a methodology has been introduced as a decision support tool to the consumers in the ...
As information overload problem more serious on the Internet, it becomes an important issue for user...
This paper presents the findings of a survey that correlate human personality types with the prefere...
We present models, methods, implementations and experiments with a system enabling personalized web ...
As a new type of word-of-mouth information, online consumer reviews possess critical information reg...
If companies are to enjoy long-term success in the Internet marketplace, they must effectively manag...
Features of web-based recommending systems can be considered both from the perspective of providing ...
AbstractLarge amounts and varieties of data have gained the interest of various industrial companies...
AbstractWe propose a new method for modelling users' preferences on attributes that contain more tha...
With the gigantic growth of the E-commerce market, E-commerce websites are becoming more and more nu...
In a competitive environment, how to provide the information and products to meet the requirements o...
This paper proposes a novel application of fuzzy logic to web data mining for two basic problems of ...
Due to the continual growth of the popularity of the Internet, commercial as well as industrial comp...
Abstract- Some of the requirements during preferences discovery or preference modeling through machi...
Analyzing and predicting navigational behavior of Web users can lead to more user friendly and effic...
In this paper, a methodology has been introduced as a decision support tool to the consumers in the ...
As information overload problem more serious on the Internet, it becomes an important issue for user...
This paper presents the findings of a survey that correlate human personality types with the prefere...
We present models, methods, implementations and experiments with a system enabling personalized web ...
As a new type of word-of-mouth information, online consumer reviews possess critical information reg...
If companies are to enjoy long-term success in the Internet marketplace, they must effectively manag...
Features of web-based recommending systems can be considered both from the perspective of providing ...
AbstractLarge amounts and varieties of data have gained the interest of various industrial companies...
AbstractWe propose a new method for modelling users' preferences on attributes that contain more tha...
With the gigantic growth of the E-commerce market, E-commerce websites are becoming more and more nu...