Litcius/Paper detail

Proposing improved meta-heuristic algorithms for clustering and separating users in the recommender systems

Rahim Rashidi, Keyhan Khamforoosh, Amir Sheikhahmadi

2021Electronic Commerce Research18 citationsDOI

Topics & Concepts

Cluster analysisComputer scienceFirefly algorithmMovieLensRecommender systemAlgorithmCuckoo searchk-means clusteringData miningPopulationCentroidCollaborative filteringMachine learningArtificial intelligenceParticle swarm optimizationDemographySociologyRecommender Systems and TechniquesHuman Mobility and Location-Based AnalysisCustomer churn and segmentation
Proposing improved meta-heuristic algorithms for clustering and separating users in the recommender systems | Litcius