• Version
• Download 6
• File Size 267.32 KB
• File Count 1
• Create Date 11 May 2023
• Last Updated 11 May 2023

Customized Tourism and Travel Recommendation System based on User-location

Karansingh pratapsingh raghuwanshi1, Nikhil jitendra manik2, Vedant mukund unawane3,

Shaikh Shahzeb Ejaz4, Shaikh Ayaan Hussain5 1,2,3,4,5

Diploma student, Dept. of Computer Engineering,

Chhatrapati Shivaji Maharaj College of Engineering

ABSTRACT

Location-based public networks provide community with an interface to share their location and write reviews about interesting places of attraction. Social networking websites allows us to understand the user‟s attention and behavior pattern on various Travel and Tourism services, especially travel attraction and point of interest, which can be exploited to recommend personalized list of places to users. The major challenge faced by Travel and Tourism advice system is to understand the indirect relations that exist between the user and the point of interest. In this paper, user- location vector approach to represent and recognize the implicit relationship between customer and point of interest using a vector has been used.

General Terms
1.        RS-Recommendation System

2.        TRS- Tourist Recommendation System

3.        ULV- User Location Vector

Keywords
Social media mining, Tourism, Recommendation System, User- Location vector