Similarity metrics from social network analysis for content recommender systems-Reference-Cited by-同舟云学术

Similarity metrics from social network analysis for content recommender systems

Published:2017-07-12 Issue:3-4 Volume:30 Page:223-234
ISSN:1875-8452
Container-title:AI Communications
language:
Short-container-title:AIC

Author:

Jimenez-Diaz Guillermo¹,Gómez-Martín Pedro Pablo¹,Gómez-Martín Marco Antonio¹,Sánchez-Ruiz Antonio A.¹

Affiliation:

1. Department of Software Engineering and Artificial Intelligence, Universidad Complutense de Madrid, Spain. E-mails: gjimenez@ucm.es, pedrop@fdi.ucm.es, marcoa@fdi.ucm.es, antsanch@ucm.es

Publisher

IOS Press

Subject

Artificial Intelligence

Reference25 articles.

1. User similarities on social networks;Akcora;Social Network Analysis and Mining,2013

2. User recommendation for collaborative and personalised digital archives;Avancini;International Journal of Web Based Communities,2005

3. A Link Prediction Approach to Recommendations in Large-Scale User-Generated Content Systems

4. A framework for dataset benchmarking and its application to a new movie rating dataset;Dooms;ACM Trans. Intell. Syst. Technol.,2016

5. Effects of the isis recommender system for navigation support in self-organised learning networks;Drachsler;Educational Technology & Society,2009

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