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- Gábor Takács, István Pilászy, Bottyán Németh, Domonkos Tikk
- Journal of Machine Learning Research
- 2009

The collaborative filtering (CF) using known user ratings of items has proved to be effective for predicting user preferences in item selection. This thriving subfield of machine learning became… (More)

- Gábor Takács, Domonkos Tikk
- RecSys
- 2012

Two flavors of the recommendation problem are the explicit and the implicit feedback settings. In the explicit feedback case, users rate items and the user-item preference relationship can be… (More)

- Joseph Sill, Gábor Takács, Lester W. Mackey, David Lin
- ArXiv
- 2009

Ensemble methods, such as stacking, are designed to boost predictive accuracy by blending the predictions of multiple machine learning models. Recent work has shown that the use of meta-features,… (More)

- Gábor Takács, István Pilászy, Bottyán Németh, Domonkos Tikk
- RecSys
- 2008

Collaborative filtering (CF) approaches proved to be effective for recommender systems in predicting user preferences in item selection using known user ratings of items. This subfield of machine… (More)

- Gábor Takács, István Pilászy, Bottyán Németh, Domonkos Tikk
- 2008 IEEE International Conference on Data Mining…
- 2008

Matrix Factorization (MF) based approaches have proven to be efficient for rating-based recommendation systems. In this work, we propose several matrix factorization approaches with improved… (More)

The Netflix Prize is a collaborative filtering problem. This subfield of machine learning has become popular from the late 1990s with the spread of online services that use recommendation systems,… (More)

- Changrim Ahn, Zoltán Bajnok, Rafael I. Nepomechie, László Palla, Gábor Takács
- 2005

We derive a nonlinear integral equation (NLIE) for some bulk excited states of the sine-Gordon model on a finite interval with general integrable boundary interactions, including boundary terms… (More)

- Gábor Takács, István Pilászy, Bottyán Németh, Domonkos Tikk
- SIGKDD Explorations
- 2007

The Netflix Prize is a collaborative filtering problem. This subfield of machine learning became popular in the late 1990s with the spread of online services that used recommendation systems (e.g.… (More)

- Gábor Takács
- 1996

The RSOS restriction of the Zhiber-Mikhailov-Shabat (ZMS) model is investigated. It is shown that in addition to the usual RSOS restriction, corresponding to Φ(1,2) and Φ(2,1) perturbations of… (More)

- Gábor Takács, Cs Szalay, +4 authors Zoltán Karádi
- Acta physiologica Hungarica
- 2012

The nucleus accumbens (NAcc), an important basal forebrain structure, has a central integratory function in the control of feeding and metabolism. The primary cytokine interleukin-1β (IL-1β) exerts… (More)