A mobile application using matrix factorization algorithm for travel itenerary recommendation

ABSTRACT: Matrix Factorization Algorithm is a recommendation algorithm derived from Collaborative Filtering. It is popularized and used by Netflix to recommend movies based on the behavior of a certain user. The researchers will apply this algorithm in their Mobile Application for Travel Itinerary Recommendation. The algorithm can intelligently predict the chances of a user on whether he will have interest in a place. Along with these predictions, the mobile application filters the locations according to the budget and time of the user before generating itineraries. The Agile Method will be used in this study because of its iterative nature, for easier revision, and because of short development period. The platform that the researchers used is Ionic Framework for developing mobile application and MySQL using PHPMyAdmin for the database. They also used PHP scripting language to apply the Matrix Factorization Algorithm in the mobile application. To further enhance the performance of the mobile application and to optimize the predicted results, Gradient Descent Algorithm is alsoused. The greatest challenge for the researchers was acquiring data for the dataset, since the amount of data affects the accuracy of the results produced by the algorithm. Ratings on a place is also very valuable because it is one of the bases of the recommendation application.

Filipiniana