Efficient Route Recommendation System Based On Keyword Using Candidate Route Generation And Travel Route Exploration

Abstract

Social media like Facebook and Flicker are most popular in these days, so that sharing of images and visited records by users can be easy. The system aim to make an easy trip planning based upon travel history of users records. Users have their own views, requirements and preferences for their planning trips. So that here introducing text description as keywords instead of limited queries. Also different set of travel route recommendations are needed. Large amount of recorded data mining and ranked preferences are the main expanded version of already existing system to get an automatic system.Therefore, proposing an Efficient Travel Route Recommendation System Based On Keyword that uses data from users trip and travelling records. So in this system for the classification of places of interests uses a keyword extraction module, for accurate and matching with query keywords. An algorithm called route reconstruction is developed to make route of candidate preferences. To get the results, the system used Skyline routing concepts. And for the verification of genuinity of rated locations here introducing NER method.

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“…Using recommender system, users can make faster and accurate choices as only data relevant to them are presented. Recommender system make suggestion to users in many domains such as movies [1], music [2], travelling route [3] and e-books [4]. Lately there are also research in suggesting online video games to users [5].…”