Fuzzy Rough Set Based Technique for User Specific Information Retrieval: A Case Study on Wikipedia Data
Informationretrievaliswidelyusedduetoextremelylargevolumeoftextandimagedataavailable onthewebandconsequently,efficientretrievalisrequired.Textinformationretrievalisabranch ofinformationretrievalwhichdealswithtextdocuments.Anotherkeyfactoristheconcernfora retrievalengine,oftenreferredtoasuser specificinformationretrieval,whichworksaccordingto aspecificuser.Thisarticleperformsapreliminaryinvestigationoftheproposedfuzzyroughsetsbasedmodelforuser specifictextinformationretrieval.Themodelimprovesonthecomputational timerequiredtocomputetheapproximationscomparedtoclassicalfuzzyroughsetmodelbyusing Wikipediaas the informationsource.The techniquealso improveson theaccuracyofclustering obtainedforuserspecifiedclasses. KeyWoRDS Fuzzy Rough Sets, Fuzzy Sets, Information Retrieval, Lower Approximation, Natural Language Processing, Rough Sets, Soft Computing, Text Processing, Upper Approximation
Int. J. Rough Sets Data Anal.