Sanz-Cruzado Puig, J. and Castells, P. (2022) RELISON: A Framework for Link Recommendation in Social Networks. In: SIGIR 2022: 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, 11-15 Jul 2022, pp. 2992-3002. ISBN 9781450387323 (doi: 10.1145/3477495.3531730)
Text
275247.pdf - Accepted Version 742kB |
Abstract
Link recommendation is an important and compelling problem at the intersection of recommender systems and online social networks. Given a user, link recommenders identify people in the platform the user might be interested in interacting with. We present RELISON, an extensible framework for running link recommendation experiments. The library provides a wide range of algorithms, along with tools for evaluating the produced recommendations. RELISON includes algorithms and metrics that consider the potential effect of recommendations on the properties of online social networks. For this reason, the library also implements network structure analysis metrics, community detection algorithms, and network diffusion simulation functionalities. The library code and documentation is available at https://github.com/ir-uam/RELISON.
Item Type: | Conference Proceedings |
---|---|
Additional Information: | This work has been partially funded by the Spanish Government (grant ref. PID2019-108965GB-I00). This work was carried out as part of the Infinitech project which is supported by the European Union’s Horizon 2020 Research and Innovation programme under grant agreement no. 856632. |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Sanz-Cruzado Puig, Dr Javier |
Authors: | Sanz-Cruzado Puig, J., and Castells, P. |
College/School: | College of Science and Engineering > School of Computing Science |
Journal Name: | Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval |
Publisher: | ACM |
ISBN: | 9781450387323 |
Published Online: | 07 July 2022 |
Copyright Holders: | Copyright © 2022 Copyright is held by the owner/author(s) |
First Published: | First published in SIGIR '22: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval: 2992-3002 |
Publisher Policy: | Reproduced in accordance with the publisher copyright policy |
Related URLs: |
University Staff: Request a correction | Enlighten Editors: Update this record