Cited By
View all- Li BWang GCheng YSun YBi X(2019)An event recommendation model using ELM in event-based social networkNeural Computing and Applications10.1007/s00521-019-04344-0Online publication date: 29-Jul-2019
Latent Factor models, which transform both users and items into the same latent feature space, are one of the most successful and ubiquitous models in recommender systems. Most existing models in this paradigm define both users' and items' latent ...
Latent Factor Models (LFMs) based on Collaborative Filtering (CF) have been widely applied in many recommendation systems, due to their good performance of prediction accuracy. In addition to users' ratings, auxiliary information such as item features ...
The traditional collaborative filtering algorithm is a successful recommendation technology. The core idea of this algorithm is to calculate user or item similarity based on user ratings and then to predict ratings and recommend items based on similar ...
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