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Predict Your Accommodation: a User Centered Hybrid Recommender System

Andrea Fiandro

Predict Your Accommodation: a User Centered Hybrid Recommender System.

Rel. Maurizio Morisio, Giuseppe Rizzo. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2019

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Abstract:

This master thesis work outlines the approach taken to solve the RecSys Challenge 2019, whose goal is to analyze the data of a user session to predict the hotel that will be clicked at the end. The first part of the thesis focuses on a deep understanding of the given problem, by means of an accurate analysis of the data to extract the most significant features for the prediction. The core of this work is the algorithmic solution, that focuses on a matrix factorization along with a gradient boosting technique. At first will be discussed the Matrix Factorization model alone, and then will be proven the effectiveness of the gradient boosting integration. This approach was effective for the purpose of the challenge, resulting in Mean Reciprocal Rank score of 0.62.

Relators: Maurizio Morisio, Giuseppe Rizzo
Academic year: 2019/20
Publication type: Electronic
Number of Pages: 78
Subjects:
Corso di laurea: Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering)
Classe di laurea: New organization > Master science > LM-32 - COMPUTER SYSTEMS ENGINEERING
Aziende collaboratrici: FONDAZIONE LINKS
URI: http://webthesis.biblio.polito.it/id/eprint/12413
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