Evolutionary Based Matrix Factorization Method For Collaborative Filtering Systems
Publish place: 21th Iranian Conference on Electric Engineering
Publish Year: 1392
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICEE21_736
تاریخ نمایه سازی: 27 مرداد 1392
Abstract:
The Matrix-Factorization (MF) based models have become popular when building Collaborative Filtering (CF) recommender systems, due to the high accuracy and scalability.Most of nowadays matrix factorization models don’t have acceptable execution time during to large datasets. In thisarticle, we introduce a new collaborative filtering recommender system, based on matrix factorization by using genetic algorithm.
Authors
Dariush Zandi Navgaran
Department of Electrical and Computer Engineering University of Kurdistan