Książka Big Data Recommender System Atanas Atanassov

Big Data Recommender System

Język: Angielski
Oprawa: Miękka
Dostępność: Dostępna u dostawcy
Wysyłamy za 5-8 dni
146.40
Recommendation Systems provide the facility to understand a person's taste and find new. As one of t...

Informacje o książce

Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2018
strony
60
EAN
9786139883646
Enbook ID
20155473
Waga
108
Wymiary
150 x 220 x 4

Pełny opis

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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