Name: Big Data Recommender System (Paperback) (en Inglés)
Price: 42.83 USD
Availability: InStock
Author: Kamal Al-Barznji Atanas Atanassov
ISBN: 9786139883646

portada Big Data Recommender System (Paperback) (en Inglés)

Big Data Recommender System (Paperback) (en Inglés)

Formato

Libro Físico

Editorial

LAP Lambert Academic Publishing, Germany

Autor

Kamal Al-Barznji Atanas Atanassov

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

ISBN13

9786139883646

Big Data Recommender System (Paperback) (en Inglés)

Kamal Al-Barznji Atanas Atanassov (Autor) · LAP Lambert Academic Publishing, Germany · Tapa Blanda

Libro Nuevo Importado

Envío: 16 a 22 días háb.

$ 85.66$ 42.83

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 40 unidades

$ 42.83

Llega entre el 04 Sep y el 16 Sep a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Big Data Recommender System (Paperback) (en Inglés)"

Recommendation Systems provide the facility to understand a person’s taste and find new. As one of the most successful approaches to build recommender systems, collaborative filtering (CF) uses the known preferences of a group of users to make recommendations or predictions of the unknown preferences for other users. In this research, we first introduce recommendation systems and CF, then we have proposed a system for generating recommendations on a Big amount of Data by memory based filtering techniques (User-based and Item-based). These techniques require no knowledge of properties of items and characteristics, they only use the information in the rating matrix. We have implemented these recommendation algorithms on Hadoop platform using Apache Mahout, a Machine Learning tool, to provide a scalable system for processing huge data sets efficiently. Finally, we compared and discussed the results of the both techniques to determine their quality of generating recommendations.