Empirical Comparison of Graph-based Recommendation Engines for an Apps Ecosystem
Autor:
Chiroque, Luis F.
; Cordobés, Héctor
; Fernández Anta, Antonio
; García Leiva, Rafael A
; Morere, Philippe
; Ornella, Lorenzo
; Pérez, Fernando
; Santos, Agustín
Fecha:
03/2015Palabra clave:
Revista / editorial:
International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)Tipo de Ítem:
articleDirección web:
https://www.ijimai.org/journal/node/734![Open Access Open Access](/themes/Mirage2/images/reunir/openaccess.png)
Resumen:
Recommendation engines (RE) are becoming highly popular, e.g., in the area of e-commerce. A RE offers new items (products or content) to users based on their profile and historical data. The most popular algorithms used in RE are based on collaborative filtering. This technique makes recommendations based on the past behavior of other users and the similarity between users and items. In this paper we have evaluated the performance of several RE based on the properties of the networks formed by users and items. The RE use in a novel way graph theoretic concepts like edges weights or network flow. The evaluation has been conducted in a real environment (ecosystem) for recommending apps to smartphone users. The analysis of the results allows concluding that the effectiveness of a RE can be improved if the age of the data, and if a global view of the data is considered. It also shows that graph-based RE are effective, but more experiments are required for a more accurate characterization of their properties.
Ficheros en el ítem
![icon](/themes/Mirage2/images/reunir/icons/pdf.png)
Este ítem aparece en la(s) siguiente(s) colección(es)
Estadísticas de uso
Año |
2012 |
2013 |
2014 |
2015 |
2016 |
2017 |
2018 |
2019 |
2020 |
2021 |
2022 |
2023 |
2024 |
Vistas |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
53 |
22 |
45 |
48 |
45 |
Descargas |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
31 |
14 |
32 |
33 |
11 |
Ítems relacionados
Mostrando ítems relacionados por Título, autor o materia.
-
Graph-based Techniques for Topic Classification of Tweets in Spanish
Cordobés, Héctor; Fernández Anta, Antonio; Chiroque, Luis F.; Pérez, Fernando; Redondo, Teófilo; Santos, Agustín (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2014)Topic classification of texts is one of the most interesting challenges in Natural Language Processing (NLP). Topic classifiers commonly use a bag-of-words approach, in which the classifier uses (and is trained with) ... -
I Congreso Español de Videojuegos 2022
González Calero, Pedro Antonio; Gómez Martín, Marco Antonio; Gómez Martín, Pedro Pablo; Gutiérrez Manjón, Sergio; Gutiérrez Sánchez, Pablo; Peinado, Federico; Sánchez-Ruiz Granados, Antonio; Barbancho, Isabel; Blanco Bueno, Carlos; Botella Nicolás, Ana María; Chover, Miguel; Díaz Álvarez, Josefa; Echeverría, Jorge; Fernández Leiva, Antonio J.; Fernández Ruiz, Marta; Gallego-Durán, Francisco; García Sánchez, Pablo; Gutiérrez Vela, Francisco L; Lara-Cabrera, Raúl; León, Carlos; Moreno, Jorge L.; Lozano Muñoz, Alejandro; Mayor, Jesús; Medina Medina, Nuria; Mejías-Climent, Laura; Mora, Antonio M; Munarriz, Jaime; Patow, Gustavo A.; Sagredo-Olivenza, Ismael; Salinas, María-José; Sanchez I. Peris, Francesc Josep; Sánchez-Ruiz, Antonio A; Shliakhovchuk, Elena; Tejada, Jesus (CEUR Workshop Proceedings, 2022){Resumen no disponible] -
Sostenibilidad Curricular: Una Mirada desde las Aportaciones del Profesorado de la Universidad de Málaga
Alcalá del Olmo Fernández, María José; Santos Villalba, María Jesús ; Leiva Olivencia, Juan José; Matas Terrón, Antonio (Revista Internacional de Educación para la Justicia Social, 12/2020)El propósito de este estudio ha sido conocer las percepciones y competencias de los profesionales de la educación de la Universidad de Málaga en la puesta en práctica de la Educación para el Desarrollo Sostenible. Siguiendo ...