A tourist route recommender system based on collaborative filtering

被引：0
|
作者：
Santos, Suzanne Loures [1 ]
Durao, Frederico Araujo [1 ]
机构：
[1] Univ Fed Bahia, Inst Computacao, Salvador, BA, Brazil
来源：
TEXTO LIVRE-LINGUAGEM E TECNOLOGIA | 2023年 / 16卷
关键词：
Recommender system; Point of interest; Tourism; Route; INFORMATION;
D O I：
10.1590/1983-3652.2023.41397
中图分类号：
H [语言、文字];
学科分类号：
05 ;
摘要：
Planning a trip, whether as a tourist or work, may not be a simple task. Buying tickets, finding accommodations available, and selecting places to visit, this whole process can be very exhausting considering the number of online platforms that offer services in the tourist scope and also the overload of information in web search engines. Recommender Systems enter this context to filter information and suggest relevant data for the user. This article proposes a tourist route recommendation system that aims to help travelers find relevant tourist spots according to their preferences and interests.
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页数：17
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