Travel sequential patterns based on multiple Points of Interest using geotagged photos in social media

The camera phones, social and photo sharing websites common nowadays such as, Flickr and Panoramio community from geotagged photos in social media which had sequential pattern travel and POI (point of interests). The geotagged photos in social media for travel sequential pattern recommendation is ch

Project Title

Travel sequential patterns based on multiple Points of Interest using geotagged photos in social media

Project Area of Specialization

Artificial Intelligence

Project Summary

The camera phones, social and photo sharing websites common nowadays such as, Flickr and Panoramio community from geotagged photos in social media which had sequential pattern travel and POI (point of interests). The geotagged photos in social media for travel sequential pattern recommendation is challenging topic recently year. Moreover, most of previous work based on travel locations photo geo tagged (time, location). In this work, we will propose travel sequential pattern based on user multiple point of interest like according to user have time , past travel history ,gender and near interest location from the geotagged photos also considers  user sequence past and recently travel both photo  and POI. We extract the user data from Flickr database and sort out according to algorithm design and implementation, we classify the photos non-tours and tours photo using entropy based approach. We consider manners according to your Point of interest several recognition based on sequential pattern from tour photos. We implement algorithm to build the location and PIO similarity model for consideration Our method will evaluate on Flickr dataset, which contains geotagged photos. The evaluation results will show that our method outperform  and improve of travel location recommendation

Project Objectives

This research proposal has following objectives:

• To study the related work
• To develop  new method to travel sequential pattern using geo tagged photos in social media
• To propose new algorithm and design that will be used to potential travel recommendation system.

Project Implementation Method

The major goal of this proposal is to find out the best travel recommendation system and design and algorithm sequential pattern from geo-tagged photo like Flickr develop a new method to best user travel recommendation approach and future research directions.

Benefits of the Project

We consider manners according to your Point of interest several recognition based on sequential pattern from tour photos. We implement algorithm to build the location and PIO similarity model for consideration Our method will evaluate on Flickr dataset, which contains geotagged photos. The evaluation results will show that our method outperform  and improve of travel location recommendation

Technical Details of Final Deliverable

application / algorithm to evaluation results will show that our method outperform  and improve of travel location recommendation.

Final Deliverable of the Project

Software System

Type of Industry

IT

Technologies

Big Data

Sustainable Development Goals

Decent Work and Economic Growth, Industry, Innovation and Infrastructure

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com