Main Reference PaperCollaborative Filtering Service Recommendation Based on a Novel Similarity Computation Method, IEEE Transactions on Services Computing, 2016 [Java/J2EE].
  • The proposed service recommendation scheme is recommended the unused services to the user who has not experienced it previously, so it is necessary to predict the unknown values. According to these values, the recommendation system can execute the recommendation. An method is proposed named ratio-based which calculate the similarity. After calculating the similarity between users or items, RACF method to predict the unknown values.

+ Description
  • The proposed service recommendation scheme is recommended the unused services to the user who has not experienced it previously, so it is necessary to predict the unknown values. According to these values, the recommendation system can execute the recommendation. An method is proposed named ratio-based which calculate the similarity. After calculating the similarity between users or items, RACF method to predict the unknown values.

  • 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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