Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Customized Mining of Big Web Resources using an Intelligent Mobile Agent: A Case of Product Comparison, Evaluation and Recommendation


Affiliations
1 Department of Computer Science, Sardar Patel University, India
     

   Subscribe/Renew Journal


Web has become a large and important source of information in routine as well as spectacular decisions related to one life. Web is a collaborative platform containing big amount of data which are really unstructured and unorganized. This research work proposes a light weight fuzzy mobile agent developed in java that works in conjunction of a multi-layer architecture. The agent utilizes user profiles containing information about prospective users in fuzzy manner. Later these values are converted into crisp values and sent to the mobile agent. The agent mines Web for the required information and presents the information to users after fine tuning with the underlying fuzzy rule based system along with justification. Using the architecture a prototype system is developed for product comparison, evaluation and recommendation. The paper discusses the problem, objectives of the research work, literature survey, architecture of the system, fuzzy user profile with membership function and java code segment of mobile agent. Sample outputs are future extension (such as mobile app with image processing interface and big data) on the work are also presented here.

Keywords

Big Web, Mining, Intelligent, Mobile, Agent.
Subscription Login to verify subscription
User
Notifications
Font Size


Abstract Views: 138

PDF Views: 0




  • Customized Mining of Big Web Resources using an Intelligent Mobile Agent: A Case of Product Comparison, Evaluation and Recommendation

Abstract Views: 138  |  PDF Views: 0

Authors

Priti Srinivas Sajja
Department of Computer Science, Sardar Patel University, India

Abstract


Web has become a large and important source of information in routine as well as spectacular decisions related to one life. Web is a collaborative platform containing big amount of data which are really unstructured and unorganized. This research work proposes a light weight fuzzy mobile agent developed in java that works in conjunction of a multi-layer architecture. The agent utilizes user profiles containing information about prospective users in fuzzy manner. Later these values are converted into crisp values and sent to the mobile agent. The agent mines Web for the required information and presents the information to users after fine tuning with the underlying fuzzy rule based system along with justification. Using the architecture a prototype system is developed for product comparison, evaluation and recommendation. The paper discusses the problem, objectives of the research work, literature survey, architecture of the system, fuzzy user profile with membership function and java code segment of mobile agent. Sample outputs are future extension (such as mobile app with image processing interface and big data) on the work are also presented here.

Keywords


Big Web, Mining, Intelligent, Mobile, Agent.