Literature Review Recommendation System Using Hybrid Method (Collaborative Filtering & Content-Based Filtering) by Utilizing Social Media as Marketing

Abstract

The recommendation system is an application model based on observations of the circumstances and customer desires. In the recommendation system, several methods are used to support how the system works in producing information. One method of recommendation system that is quite popular is the method Hybrid. Several researchers have successfully applied this method in developing a tourism recommendation system, therefore to achieve the goal of implementing a tourism recommendation, it is better to take advantage of a marketing technique such as promotion in order to increase sales and attract more comprehensive customers. Therefore, a literature review on the method hybrid (Collaborative Filtering & Content-Based Filtering) of this travel recommendation system is carried out to collaborate between methods, algorithms, and a tool or media marketing applied in a recommendation system.

Intelligent recommendation method of intelligent tourism scenic spot route based on collaborative filtering

“…However, the current method has limitations in considering users' starting and ending points when recommending travel destinations and routes [23]. To address this issue, some researchers suggest providing users with tailored recommendations based on their constraints, preferences, and points of interest along the way [24]. To achieve this, algorithms such as recursive-based dynamic programming have been proposed and tested on real-world datasets such as Foursquare [25].…”