Personalized search inspired fast interactive estimation of distribution algorithm and its application
Interactive evolutionary algorithms have been applied to personalized search, in which less
user fatigue and efficient search are pursued. Motivated by this, we present a fast interactive …
user fatigue and efficient search are pursued. Motivated by this, we present a fast interactive …
DPM-IEDA: dual probabilistic model assisted interactive estimation of distribution algorithm for personalized search
Y Chen, X Sun, D Gong, X Yao - IEEE Access, 2019 - ieeexplore.ieee.org
An interactive evolutionary algorithm (IEA) is powerful for solving personalized search when
the user's preference can be well caught, expressed, and applied in the process of …
the user's preference can be well caught, expressed, and applied in the process of …
Interactive genetic algorithm with group intelligence articulated possibilistic condition preference model
X Sun, L Zhu, L Bao, L Liu, X Nie - Simulated Evolution and Learning: 11th …, 2017 - Springer
Interactive evolutionary computation assisted with surrogate models derived from the user's
interactions is a feasible method for solving personalized search problems. However, in the …
interactions is a feasible method for solving personalized search problems. However, in the …