Multiple Days Trip Recommendation Based on Check-in Data

  • 廖 恒慶

Student thesis: Master's Thesis

Abstract

A trip recommender system can generate suggested itineraries for users based on their preferences However current systems are not capable of simultaneously considering trip length distance user requirements and preferences when making recommendations being only equipped to consider one or two of these variables at one time Also to generate recommendations the system must process all attractions in the database requiring more data access and longer processing time We analyze the check-in records of users and utilized a new concept of time intervals combined with a multiple days trip algorithm to produce itineraries compatible with the interests and needs of users By applying R-tree to the trip recommender system we reduce data access times and computation time Lastly we propose a trip evaluator equation that can be used to compare the strengths and weaknesses of each algorithm Experimental results verified the effectiveness of our method
Date of Award2014 Jul 31
Original languageEnglish
SupervisorChiang Lee (Supervisor)

Cite this

Multiple Days Trip Recommendation Based on Check-in Data
恒慶, 廖. (Author). 2014 Jul 31

Student thesis: Master's Thesis