A Fuzzy Driven Reliability and Relevancy Map for Web Content Search Optimization

Web System architecture is one of complex distributed environment. But this search system is having the criticalities in terms of fast and reliable search. In this work, a fuzzy integrated search under user and the content perspective is defined. The search model is divided is applied as the global keyword map at the earlier stage. In this stage, the hierarchical tree based keyword search is applied under fuzzy based parameters. These parameters are relevancy, access time and prime keyword map. After short listing the content search, the user feedback driven indexing is applied under requirement and interest vectors. The work is applied in global public environment. The results show that the work model has presented the effective results for common keywords. The comparative efficiency driven results are presented in this work.