000			a
999			_c16224 _d16224
003			OSt
005			20220204123412.0
008			220204b xxu||||| |||| 00| 0 eng d
040			_aAIKTC-KRRC _cAIKTC-KRRC
100			_915856 _aVinathi, Chichili.
245			_aWeb Recommendation System For End-Users
250			_aVol.10(1), Jan-Jun
260			_aNew Delhi _bGlobal Research Publication _c2021
300			_a17-24p.
520			_aIn this era where the availability of digital information is growing exponentially, Recommendation systems are utilized to suggest for end users. suggestions are done here by using statistical and clustering techniques that assist in predicting the interests of user. This paper proposes a Web Recommendation Systems for End Users by proposing algorithms Modified K-Means Clustering and vector Space Model algorithm. Vector space Model algorithm isexploited for enhancing the data classification and making it uniform followed by modified K-Meansclustering on input data that is retrieved from using vector space model algorithm. .Recommendations are done by utilizing text categorization from search Keyword.
650		0	_94619 _aEXTC Engineering
700			_99883 _aShaik, Naseera
773	0		_tInternational journal of wireless communication networking and application _dNew Delhi Global Research Publication
942			_2ddc _cAR