In-memory distributed software solution to improve the performance of recommender systems

Author:

Costa-Montenegro Enrique1,Tsybanev Alexander1,Cerezo-Costas Héctor2,Javier González-Castaño Francisco1,Gil-Castiñeira Felipe1,Barragáns-Martínez Belén3,Almuiña-Troncoso Diego1

Affiliation:

1. AtlantTIC; University of Vigo; Vigo 36310 Pontevedra Spain

2. Gradiant (Galician Research and Development Center in Advanced Telecomunications); Vigo 36310 Pontevedra Spain

3. Centro Universitario de la Defensa; Escuela Naval Militar; Marín 36920 Pontevedra Spain

Funder

MEIGA, CDTI, Spain, and COINS MINECO

Publisher

Wiley

Subject

Software

Reference31 articles.

1. Recommender systems survey;Bobadilla;Knowledge-Based Systems,2013

2. 'big data: Big gaps of knowledge in the field of internet;Snijders;International Journal of Internet Science,2012

3. Apache Hadoop 2015 https://hadoop.apache.org/

4. Apache Spark 2015 https://spark.apache.org/

5. Incorporating contextual information in recommender systems using a multidimensional approach;Adomavicius;ACM Transactions on Information Systems,2005

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3. Entity representation for pairwise collaborative ranking using restricted Boltzmann machine;Expert Systems with Applications;2019-02

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