Information retrieval models for contact recommendation

This repository contains the code needed to reproduce the experiments of the paper:

J. Sanz-Cruzado, P. Castells, C. Macdonald, I. Ounis. Effective Contact Recommendation in Social Networks by Adaptation of Information Retrieval Models. Information Processing & Management, 2020. In Press.

Authors

Information Retrieval Group at Universidad Autónoma de Madrid

• Javier Sanz-Cruzado (javier.sanz-cruzado@uam.es)
• Pablo Castells (pablo.castells@uam.es)

Terrier Group at University of Glasgow

• Craig Macdonald (craig.macdonald@glasgow.ac.uk)
• Iadh Ounis (iadh.ounis@glasgow.ac.uk)

Software description

This repository contains all the needed classes to reproduce the experiments explained in the paper.

Installation

In order to install this program, you need to have Maven (https://maven.apache.org) installed on your system. Then, download the files into a directory, and execute the following command:

mvn compile assembly::single

If you do not want to use Maven, it is still possible to compile the code using any Java compiler. In that case, you will need the following libraries:

• Ranksys version 0.4.3: http://ranksys.org
• Colt version 1.2.0: https://dst.lbl.gov/ACSSoftware/colt
• Google MTJ version 1.0.4: https://github.com/fommil/matrix-toolkits-java
• Terrier version 5.1: http://terrier.org/
• FastUtil version 8.3.0: http://fastutil.di.unimi.it/