Vreixo Formoso - researchr alias

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Viewing Publication 1 - 14 from 14

2020

A Content-Based Approach to Profile ExpansionDiego Fernández 0001, Vreixo Formoso, Fidel Cacheda, Victor Carneiro. ijufks, 28(6):981-1002, 2020. [doi]

HOPE (High Order Profile Expansion) for the New User Problem on Recommender SystemsDiego Fernández, Vreixo Formoso, Fidel Cacheda, Victor Carneiro. circle 2020: [doi]

2015

Distributed architecture for k-nearest neighbors recommender systemsVreixo Formoso, Diego Fernández, Fidel Cacheda, Victor Carneiro. www, 18(4):997-1017, 2015. [doi]

2013

Using profile expansion techniques to alleviate the new user problemVreixo Formoso, Diego Fernández, Fidel Cacheda, Victor Carneiro. ipm, 49(3):659-672, 2013. [doi]

Using rating matrix compression techniques to speed up collaborative recommendationsVreixo Formoso, Diego Fernández, Fidel Cacheda, Victor Carneiro. ir, 16(6):680-696, 2013. [doi]

2012

Using Neighborhood Pre-computation to Increase Recommendation EfficiencyVreixo Formoso, Diego Fernández, Fidel Cacheda, Victor Carneiro. ic3k 2012: 333-335

2011

Comparison of collaborative filtering algorithms: Limitations of current techniques and proposals for scalable, high-performance recommender systemsFidel Cacheda, Victor Carneiro, Diego Fernandez, Vreixo Formoso. tweb, 5(1):2, 2011. [doi]

Improving k-nearest neighbors algorithms: practical application of dataset analysisFidel Cacheda, Victor Carneiro, Diego Fernández, Vreixo Formoso. CIKM 2011: 2253-2256 [doi]

2010

Performance Evaluation of Large-scale Information Retrieval Systems Scaling DownFidel Cacheda, Victor Carneiro, Diego Fernández, Vreixo Formoso. sigir 2010: 36-39 [doi]

2009

2007

Open Source Tool for Management Network InformationVreixo Formoso, Fidel Cacheda, Victor Carneiro, Juan Valifio. lanoms 2007: 50-56 [doi]

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