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Applying trust metrics based on user interactions to recommendation in social networks

Autor
Lumbreras, A.; Gavaldà, R.
Tipus d'activitat
Document cientificotècnic
Data
2012
Codi
LSI-12-9-R
Repositori
http://hdl.handle.net/2117/91313 Obrir en finestra nova
Resum
Recommender systems have been strongly researched within the last decade. With the arising and popularization of digital social networks a new field has been opened for social recommendations. Considering the network topology, users interactions, or estimating trust between users are some of the new strategies that recommender systems can take into account in order to adapt their techniques to these new scenarios. We introduce MarkovTrust, a way to infer trust from Twitter interactions and to co...
Citació
Lumbreras, A., Gavaldà, R. "Applying trust metrics based on user interactions to recommendation in social networks". 2012.
Paraules clau
Social Networks, Trust, Recommendation, Data Mining, Machine Learning
Grup de recerca
LARCA - Laboratori d'Algorísmia Relacional, Complexitat i Aprenentatge

Participants

Arxius