Thesis Details
Agregace a doporučování událostí a míst z Facebooku
The aim of this bachelor thesis is to explain the design and implementation of an Android application "Let's Go Out", which can recommend Facebook events and places to the user. The recommendation is carried out by using the hybrid recommending system approach that links together the collaborative filtering and a content-based recommendation approach, tracks the user's interaction with the application and, based on recorded data, adapts to the recommendation process. This thesis also describes the testing process that compares the recommender systems of competitive applications and points out achievements.
Collaborative filtering, Content-based recommendation, Events aggregation, Places aggregation, Android, Cosine similarity Measure, TF-IDF
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Drábek Vladimír, doc. Ing., CSc. (DCSY FIT BUT), člen
Křivka Zbyněk, Ing., Ph.D. (DIFS FIT BUT), člen
Rogalewicz Adam, doc. Mgr., Ph.D. (DITS FIT BUT), člen
@bachelorsthesis{FITBT17939,
author = "Matej Dube\v{n}",
type = "Bachelor's thesis",
title = "Agregace a doporu\v{c}ov\'{a}n\'{i} ud\'{a}lost\'{i} a m\'{i}st z Facebooku",
school = "Brno University of Technology, Faculty of Information Technology",
year = 2015,
location = "Brno, CZ",
language = "czech",
url = "https://www.fit.vut.cz/study/thesis/17939/"
}