JOURNAL ARTICLE

User Preference Perspective for Implementing Personalized Travel Package Recommendation System

Swapnali Ravindra Teli

Year: 2022 Journal:   Zenodo (CERN European Organization for Nuclear Research)   Publisher: European Organization for Nuclear Research

Abstract

In today’s market, recommender techniques are showing a considerable growth. Many travel packages are present on different websites and also you get these packages from different tourist companies to all the places over the world. You just need to decide a package which is best suits for you. Many of customers are facing problem of deciding the best package as she/he has to browse multiple websites, contact many travel agents and etc. which is a lengthy process and it is very hectic. There should be a system where the user should find the best package of his/her choice on single click. To tackle this issue, we endorse Travel Package Recommendation System which offers the best package among all the other packages which is of your choice and also in your budget. This system will help tourist to choose the best travel package among all the package deals on the web. On multiple demands of tourist that is, a customer will select a travel package based on the recommendations provided by the previous customers who had experience with the package.

Keywords:
Perspective (graphical) Preference Computer science Personalization Recommender system Human–computer interaction Data science World Wide Web Artificial intelligence Mathematics Statistics

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Topics

Digital Marketing and Social Media
Social Sciences →  Social Sciences →  Sociology and Political Science
Technology Adoption and User Behaviour
Social Sciences →  Decision Sciences →  Information Systems and Management
Recommender Systems and Techniques
Physical Sciences →  Computer Science →  Information Systems

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