Main Reference PaperCollaborative Filtering Service Recommendation Based on a Novel Similarity Computation Method, IEEE Transactions on Services Computing, 2016 [Java/J2EE].
  • Similarity measurements and prediction of unknown values are two important procedures of memory-based collaborative filtering service recommendation. This paper proposes a ratio-based method to calculate the similarity. The proposed method obtains better prediction precision, lower mean absolute error (MAE) and faster computation time than various reference schemes considered.

+ Description
  • Similarity measurements and prediction of unknown values are two important procedures of memory-based collaborative filtering service recommendation. This paper proposes a ratio-based method to calculate the similarity. The proposed method obtains better prediction precision, lower mean absolute error (MAE) and faster computation time than various reference schemes considered.

  • To recommend unused services to the user.

  • To improve prediction accuracy.

  • Low computation time.

+ Aim & Objectives
  • To recommend unused services to the user.

  • To improve prediction accuracy.

  • Low computation time.

  • A technique is contributed to improve the proposed scheme.

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

  • Java JDK 1.8, MySQL 5.5.40.

  • Netbeans 8.0.1 and J2EE.

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

  • Netbeans 8.0.1 and J2EE.

  • B.E / B.Tech / M.E / M.Tech

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

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