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Big Data Recommender System

Name: Big Data Recommender System
Brand: LAP Lambert Academic Publishing
SKU: 20155473
Price: 37.29 EUR
Availability: InStock
Author: Atanas Atanassov
ISBN: 9786139883646

Atanas Atanassov

Kamal Al-Barznji

Language

English

Book Paperback

Libristo code: 20155473

Publishers LAP Lambert Academic Publishing, November 2017

Recommendation Systems provide the facility to understand a person's taste and find new. As one of t... Full description

Libristo code: 20155473

91 b

37.29 € VAT included

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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.