Main Reference PaperHow does serendipity affect diversity in recommender systems, Applied Intelligence, 2018 [Java/Python/R]
  • This work investigates the effect of diversity and serendipity on recommendations. This work proposes a serendipity-oriented, reranking algorithm called a serendipity-oriented greedy (SOG) algorithm, which improves the serendipity of recommendations through feature diversification.

+ Description
  • This work investigates the effect of diversity and serendipity on recommendations. This work proposes a serendipity-oriented, reranking algorithm called a serendipity-oriented greedy (SOG) algorithm, which improves the serendipity of recommendations through feature diversification.

  • To improve the serendipity of a recommender system

  • To improve recommendation accuracy

+ Aim & Objectives
  • To improve the serendipity of a recommender system

  • To improve recommendation accuracy

  • An inherent feature of the product is applied in recommendation system.

+ Contribution
  • An inherent feature of the product is applied in recommendation system.

  • OS: Ubuntu 12.04 LTS 64bit

  • Language: Java/Python/R

+ Software Tools & Technologies
  • OS: Ubuntu 12.04 LTS 64bit

  • Language: Java/Python/R

  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

+ Project Recommended For
  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

+ Order To Delivery
  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

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