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Diego Carvalho
Publication Activity (10 Years)
Years Active: 2017-2019
Publications (10 Years): 9
Top Topics
Streaming Services
Movie Recommendation
Particle Swarm
User Behavior
Top Venues
WebMedia
Inf. Syst.
ICCSA (3)
J. Inf. Data Manag.
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Publications
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Diego Carvalho
,
Nícollas Silva
,
Tiago Trotta
,
Adriano C. M. Pereira
,
Fernando Mourão
,
Leonardo Rocha
A Particle Swarm approach to mitigate the apparent diversity-accuracy dilemma in recommendation domains in recommendation domains.
CEC
(2019)
Nícollas Silva
,
Diego Carvalho
,
Adriano C. M. Pereira
,
Fernando Mourão
,
Leonardo Rocha
How to Compose Product Pages to Enhance the New Users' Interest in the Item Catalog?
ICCS (1)
(2019)
Nícollas Silva
,
Diego Carvalho
,
Adriano C. M. Pereira
,
Fernando Mourão
,
Leonardo Rocha
The Pure Cold-Start Problem: A deep study about how to conquer first-time users in recommendations domains.
Inf. Syst.
80 (2019)
Diego Carvalho
,
Nícollas Silva
,
Alan Cardoso
,
Elverton C. Fazzion
,
Adriano C. M. Pereira
,
Leonardo Rocha
A data exploratory methodology to understand the users' interactions in nonlinear web multimedia services.
WebMedia
(2019)
Diego Carvalho
,
Nícollas Silva
,
Alan Cardoso
,
Elverton C. Fazzion
,
Adriano C. M. Pereira
,
Leonardo Rocha
Understanding Users-Contents Interaction in Non-Linear Multimedia Streaming Services.
WebMedia
(2018)
Diego Carvalho
,
Nícollas Silva
,
Thiago Silveira
,
Fernando Mourão
,
Adriano C. M. Pereira
,
Diego Dias
,
Leonardo Rocha
FAiR: A Framework for Analyses and Evaluations on Recommender Systems.
ICCSA (3)
(2018)
Nícollas Silva
,
Diego Carvalho
,
Adriano C. M. Pereira
,
Fernando Mourão
,
Leonardo Rocha
Evaluating Different Strategies to Mitigate the Ramp-up Problem in Recommendation Domains.
WebMedia
(2017)
Diego Carvalho
,
Nícollas Silva
,
Adriano C. M. Pereira
,
Leonardo Rocha
Characterizing User Behavior and Items in Multimedia Streaming Services.
WebMedia
(2017)
Nícollas Silva
,
Diego Carvalho
,
Adriano C. M. Pereira
,
Fernando Mourão
,
Leonardo Rocha
Non-personalized Movie Recommendation by Maximum k-Coverage.
J. Inf. Data Manag.
8 (2) (2017)