Web Recommendation System For End-Users
By: Vinathi, Chichili
.
Contributor(s): Shaik, Naseera.
Publisher: New Delhi Global Research Publication 2021Edition: Vol.10(1), Jan-Jun.Description: 17-24p.Subject(s): EXTC Engineering
In:
International journal of wireless communication networking and applicationSummary: In 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.
| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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Articles Abstract Database
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School of Engineering & Technology Archieval Section | Not for loan | 2022-0369 |
In 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.
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