Survey of similarity functions on neighborhood-based collaborative filtering
H Khojamli, J Razmara - Expert Systems with Applications, 2021 - Elsevier
Today, recommender systems play a vital role in the acceleration of searches by internet
users to find what they are interested in. Among the strategies proposed for recommender …
users to find what they are interested in. Among the strategies proposed for recommender …
Recommending items to group of users using matrix factorization based collaborative filtering
Group recommender systems are becoming very popular in the social web owing to their
ability to provide a set of recommendations to a group of users. Several group recommender …
ability to provide a set of recommendations to a group of users. Several group recommender …
Utilization of random forest classifier and artificial neural network for predicting the acceptance of reopening decommissioned nuclear power plant
AKS Ong, YT Prasetyo, KEC Velasco, EDR Abad… - Annals of Nuclear …, 2022 - Elsevier
Abstract The Bataan Nuclear Power Plant (BNPP) is one of the many decommissioned
Nuclear Power Plant (NPP) globally and its reopening has led to different perceptions …
Nuclear Power Plant (NPP) globally and its reopening has led to different perceptions …
Improving memory-based user collaborative filtering with evolutionary multi-objective optimization
The primary task of a memory-based collaborative filtering (CF) recommendation system is
to select a group of nearest (similar) user neighbors for an active user. Traditional memory …
to select a group of nearest (similar) user neighbors for an active user. Traditional memory …
An enhanced recommender system based on heterogeneous graph link prediction
Graph-based data has gained popularity in various applications, including social networks,
recommendation systems, and knowledge graphs. Detecting missing links between nodes is …
recommendation systems, and knowledge graphs. Detecting missing links between nodes is …
Mobility pattern recognition based prediction for the subway station related bike-sharing trips
The free-floating bike-sharing (BS) system plays an important role in connection with the
public transit system. However, few studies have addressed the impacts of the subway …
public transit system. However, few studies have addressed the impacts of the subway …
A survey on data mining techniques in recommender systems
Recommender systems have been regarded as gaining a more significant role with the
emergence of the first research article on collaborative filtering (CF) in the mid-1990s. CF …
emergence of the first research article on collaborative filtering (CF) in the mid-1990s. CF …
A recommender system of reviewers and experts in reviewing problems
In this study, we propose the architecture of a content-based recommender system aimed at
the selection of reviewers (experts) to evaluate research proposals or articles. We introduce …
the selection of reviewers (experts) to evaluate research proposals or articles. We introduce …
Applying landmarks to enhance memory-based collaborative filtering
Abstract Memory-based Collaborative Filtering (CF) has been a widely used approach for
personalised recommendation with considerable success in many applications. An …
personalised recommendation with considerable success in many applications. An …
A cost sensitive decision tree algorithm based on weighted class distribution with batch deleting attribute mechanism
H Zhao, X Li - Information Sciences, 2017 - Elsevier
Minimal cost classification is an important issue in data mining and machine learning.
Recently, many enhanced algorithms based on the C4. 5 algorithm have been proposed to …
Recently, many enhanced algorithms based on the C4. 5 algorithm have been proposed to …