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Web-Page Recommendation Based on Stock Priority
2017
South Asian Journal of Engineering and Technology
unpublished
Preserved Fulltext
Web-page recommendation plays an important role in smart Web systems. It not only reduces the Web traffic, but also gives effective personalized Web-page recommendation for every user. Effective knowledge discovery from Web usage data and attaining exact knowledge representation are typical task. This paper proposes a novel method to provide better Web-page recommendation through Web usage knowledge.Finally, Web usage data founded from Web log file was integrated with the stock details to provide effective Web-page recommendation.
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