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portada Big Data Recommender System (Paperback)
Type
Physical Book
Publisher
Author
Language
English
Pages
60
Format
Paperback
ISBN13
9786139883646

Big Data Recommender System (Paperback)

Kamal Al-Barznji Atanas Atanassov (Author) · LAP Lambert Academic Publishing, Germany · Paperback

Big Data Recommender System (Paperback) - Kamal Al-Barznji Atanas Atanassov

New Book Imported to Netherlands
Delivery: 25 Sep - 29 Sep Shipping: 13 to 14 business days.
€ 44,45
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Synopsis "Big Data Recommender System (Paperback) "

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.

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