Analysis of Website for Improvement of Quality and User Experience

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Paper Details

Paper Title

Analysis of Website for Improvement of Quality and User Experience

Authors

Kalpesh Prajapati, Viral Borisagar

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Abstract

With the rapid growth of online website individuals generate and consume a large amount of online information. Because of large amount of item information on website, customer has face difficulty in selection of items. Recommendation Systems provide a solution to this. Recommendation System improves website quality by providing Intelligence recommender system and User Experience by providing web personalization retrieving recommended items of personal interests. In this paper we propose a model of Recommendation systems for websites like online music, booking website for movies, online watch movies, News websites, Online Book Store, Online Library ,Tours and Travelling Websites. Our work improves Neighborhood Restricted rule based Recommender System (NRRS++) by adding user personal interest retrieved from social networking sites. Users of the site require account in social networking site.

Keywords- Recommender Systems, Social site profile, Web Personalization

Publication Details

Unique Identification Number - IJEDR1502179
Page Number(s) - 1041-1046
Pubished in - Volume 3 | Issue 2 | May 2015
DOI (Digital Object Identifier) -
Publisher - IJEDR (ISSN - 2321-9939)

Cite this Article

Kalpesh Prajapati, Viral Borisagar, "Analysis of Website for Improvement of Quality and User Experience", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 2, pp.1041-1046, May 2015, Available at :http://www.ijedr.org/papers/IJEDR1502179.pdf

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