Main Reference PaperCombining community-based knowledge with association rule mining to alleviate the cold start problem in context-aware recommender systems, Expert Systems With Applications, 2018 [Java]
  • This work proposes a novel hybrid approach to alleviate the cold start problem in rule-based context aware recommender systems. After collecting all the rules, this approach combines association rules, probability metrics and the user’s context. recommend the most proper POI recommendation rules to a person with a limited check-in history.

Description
  • This work proposes a novel hybrid approach to alleviate the cold start problem in rule-based context aware recommender systems. After collecting all the rules, this approach combines association rules, probability metrics and the user’s context. recommend the most proper POI recommendation rules to a person with a limited check-in history.

  • To improve the scalability.

  • To solve the cold start problem

Aim & Objectives
  • To improve the scalability.

  • To solve the cold start problem

  • Location of the user will be considered as one of the parameters to recommend the PoIs. It will increase recommendation accuracy of the system.

Contribution
  • Location of the user will be considered as one of the parameters to recommend the PoIs. It will increase recommendation accuracy of the system.

  • 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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