Main Reference PaperEfficient Keyword-aware Representative Travel Route Recommendation, IEEE Transactions on Knowledge and Data Engineering, April 2017 [python].
  • An efficient Keyword-aware Representative Travel Route framework with a route reconstruction algorithm is proposed that uses knowledge extraction from users’ historical mobility records and social interactions. It uses the POI-related tags for effective keyword matching.

Description
  • An efficient Keyword-aware Representative Travel Route framework with a route reconstruction algorithm is proposed that uses knowledge extraction from users’ historical mobility records and social interactions. It uses the POI-related tags for effective keyword matching.

  • To meet the need for automatic trip organization using Places of Interest (POIs) feature.

  • To provide befitting query results.

Aim & Objectives
  • To meet the need for automatic trip organization using Places of Interest (POIs) feature.

  • To provide befitting query results.

  • Computation cost is reduced by recording the repeated queries.

Contribution
  • Computation cost is reduced by recording the repeated queries.

  • 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-Depending on the complexity of the project and requirements.

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

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