Main Reference PaperUser Next Web Page Recommendation using Weight based Prediction, International Journal of Computer Applications, May 2016[Java/J2EE].
  • The proposed recommendation system recommends the web page from web access logs. To find the user accessed patterns form the web log and similarly between different users accessed data, this work implements K-mean clustering algorithm. For classification and prediction of web page the k-nearest neighbour (KNN) algorithm is implemented.

+ Description
  • The proposed recommendation system recommends the web page from web access logs. To find the user accessed patterns form the web log and similarly between different users accessed data, this work implements K-mean clustering algorithm. For classification and prediction of web page the k-nearest neighbour (KNN) algorithm is implemented.

  • To enhance the accuracy of recommendation.

  • Reducing the memory consumption and time consumption.

+ Aim & Objectives
  • To enhance the accuracy of recommendation.

  • Reducing the memory consumption and time consumption.

  • A technique is contributed to improve the accuracy of proposed scheme.

+ Contribution
  • A technique is contributed to improve the accuracy of proposed scheme.

  • Java JDK 1.8, MySQL 5.5.40

  • Netbeans 8.0.1 and J2SE.

+ Software Tools & Technologies
  • Java JDK 1.8, MySQL 5.5.40

  • Netbeans 8.0.1 and J2SE.

  • B.E / B.Tech / M.E / M.Tech

+ Project Recommended For
  • B.E / B.Tech / M.E / M.Tech

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