Main Reference PaperLARS: An Efficient and Scalable Location-Aware Recommender System, IEEE Transactions on Knowledge and Data Engineering, 2013.
  • This project aims to develop a recommendation system to help users to identify useful items. Existing systems does not consider the spatial property of the users and also the items. It proposes one method that is user partitioning, a technique that influences recommendations with ratings .

+ Description
  • This project aims to develop a recommendation system to help users to identify useful items. Existing systems does not consider the spatial property of the users and also the items. It proposes one method that is user partitioning, a technique that influences recommendations with ratings .

  • To consider spatial properties of users and items

  • To allow users to select the items based on the preferences in his/her residing region by supporting spatial ratings via user partitioning technique

  • To allow the users to travel a limited distance when visiting these venues by supporting spatial items via travel penalty technique

+ Aim & Objectives
  • To consider spatial properties of users and items

  • To allow users to select the items based on the preferences in his/her residing region by supporting spatial ratings via user partitioning technique

  • To allow the users to travel a limited distance when visiting these venues by supporting spatial items via travel penalty technique

  • In this project, we contribute to build a recommender system that leverages social proximity to generate recommendations to end-users. In this case, the recommendation answer is influenced by the social ties of the querying user.

+ Contribution
  • In this project, we contribute to build a recommender system that leverages social proximity to generate recommendations to end-users. In this case, the recommendation answer is influenced by the social ties of the querying user.

  • 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

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.