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Found 5 papers, 0 papers with code
A Preference Random Walk Algorithm for Link Prediction through Mutual Influence Nodes in Complex Networks
A comparison between the proposed method and other similarity-based methods (local, quasi-local, and global) has been performed, and results have been reported for 11 real-world networks.
Presentation a Trust Walker for rating prediction in Recommender System with Biased Random Walk: Effects of H-index Centrality, Similarity in Items and Friends
Also, for this problem, researchers use different modes of the Random Walk algorithm to randomly visit some users, study their behavior, and gain the degree of trust between them.
A Novel Community Detection Based Genetic Algorithm for Feature Selection
The findings indicate that the new approach continuously yields improved classification accuracy.
Review of Swarm Intelligence-based Feature Selection Methods
In this paper, a comparative analysis of different feature selection methods is presented, and a general categorization of these methods is performed.
Presentation of a Recommender System with Ensemble Learning and Graph Embedding: A Case on MovieLens
Graph embedding was also proposed for resolution of this issue, where all or part of user behavior can be simulated through the generation of several vectors, resolving the problem of user behavior analysis to a large extent while maintaining high efficiency.
