Biclustering ARTMAP collaborative filtering recommender system
| Autor: | Ashraf M. Abdelbar, Donald C. Wunsch, Islam Elnabarawy |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Artificial neural network Computer science 02 engineering and technology Recommender system computer.software_genre MovieLens Biclustering 020901 industrial engineering & automation Similarity (psychology) 0202 electrical engineering electronic engineering information engineering Collaborative filtering 020201 artificial intelligence & image processing Data mining Cluster analysis computer |
| Zdroj: | IJCNN |
| DOI: | 10.1109/ijcnn.2016.7727578 |
| Popis: | Collaborative filtering provides recommendations based on the behavior of each user combined with behavior of users with similar interests. Recommender systems are becoming widespread, helping people choose movies, books, and things to buy. In this study, we examine the use of Biclustering ARTMAP to build a collaborative filtering recommendation system. We introduce a novel modification to how the Biclustering ARTMAP algorithm computes the item-cluster similarity, and a way to adapt it for the prediction of user ratings. We apply the algorithm to the MovieLens 100k dataset, and find that it achieves promising performance compared to other collaborative filtering techniques. |
| Databáze: | OpenAIRE |
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