Latent Dirichlet Allocation (LDA) is a model considering documents as a mixture of topics. This study then proposed a recommendation model based on LDA, able to ...
Latent Dirichlet Allocation (LDA) is a model considering documents as a mixture of topics. This study then proposed a recommendation model based on LDA, able to ...
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Dec 1, 2014 · Abstract—Observing various learning goals from peers al- lows learners to specify new objectives and sub-goals to improve.
Abstract—Observing various learning goals from peers al- lows learners to specify new objectives and sub-goals to improve their personal experience.
Observing various learning goals from peers al-lows learners to specify new objectives and sub-goals to improve their personal experience.
Jul 13, 2014 · Observing various learning goals from peers allows learners to specify new objectives and sub-goals to improve their personal experience.
Diverse reports recommendation system based on latent Dirichlet allocation ... Goal-based messages recommendation utilizing latent dirichlet allocation. S ...
Web-based implementation using an Latent Dirichlet Allocation (LDA) model in ... This study consisted in a goal-based recommendation model utilizing social.
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Sep 15, 2022 · This study proposes hybrid recommender models that use content-based filtering and latent Dirichlet allocation (LDA)-based models. The ...