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A novel Adaptive Genetic Neural Network (AGNN) model for recommender systems using modified k-means clustering approach

Publication Type : Journal Article

Publisher : Multimedia Tools and Applications

Source : Multimedia Tools and Applications, p. 1–28 (2018)

Url : https://www.researchgate.net/publication/328746750_A_novel_Adaptive_Genetic_Neural_Network_AGNN_model_for_recommender_systems_using_modified_k-means_clustering_approach

Keywords : Adaptive Genetic, Artificial Neural Network (ANN), Clustering approach, Collaborative Filtering (CF), genetic algorithm (GA), Modified k-means, Neural Network (AGNN), Recommender System (RS)

Campus : Coimbatore

School : School of Engineering

Department : Computer Science

Year : 2018

Abstract : The Recommender System (RS) plays an important role in information retrieval techniques in a bid to handle massive online data effectively. It gives suggestions on items/services to the target online user to ensure correct decisions quickly and easily. Collaborative Filtering (CF) is a key approach in RS providing a recommendation to the target online user, based on a rating similarity among users. Unsupervised clustering approach is a model-based CF, which is preferred as it ensures simple and effective recommendation. Such CFs suffer from a high error rate and needs additional iterations for convergence. This paper proposes a Modified k-means clustering approach to eliminate the above mentioned issues to provide well-framed clusters. The novel supervised Adaptive Genetic Neural Network (AGNN) method is proposed to locate the most favored data points in a cluster to deliver effective recommendations. The performance of the proposed RS is measured by conducting an experimental analysis on benchmark MovieLens and Netflix datasets. Results are compared with state-of-the-art methods namely Artificial Neural Network (ANN) and Fuzzy based RS models to show the effectiveness of the proposed AGNN method.

Cite this Research Publication : C. Selvi and Elango, S., “A novel Adaptive Genetic Neural Network (AGNN) model for recommender systems using modified k-means clustering approach”, Multimedia Tools and Applications, pp. 1–28, 2018.

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