کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
380733 1437463 2012 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A parallel matrix factorization based recommender by alternating stochastic gradient decent
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
A parallel matrix factorization based recommender by alternating stochastic gradient decent
چکیده انگلیسی

Collaborative Filtering (CF) can be achieved by Matrix Factorization (MF) with high prediction accuracy and scalability. Most of the current MF based recommenders, however, are serial, which prevent them sharing the efficiency brought by the rapid progress in parallel programming techniques. Aiming at parallelizing the CF recommender based on Regularized Matrix Factorization (RMF), we first carry out the theoretical analysis on the parameter updating process of RMF, whereby we can figure out that the main obstacle preventing the model from parallelism is the inter-dependence between item and user features. To remove the inter-dependence among parameters, we apply the Alternating Stochastic Gradient Solver (ASGD) solver to deal with the parameter training process. On this basis, we subsequently propose the parallel RMF (P-RMF) model, of which the training process can be parallelized through simultaneously training different user/item features. Experiments on two large, real datasets illustrate that our P-RMF model can provide a faster solution to CF problem when compared to the original RMF and another parallel MF based recommender.


► We analyze the parameter update of Regularized Matrix Factorization (RMF) based recommender.
► We apply the Alternating Stochastic Gradient Solver (ASGD) solver to the parameter training in RMF.
► We propose the parallel RMF (P-RMF) model.
► Proposed model yields competitive results on the MovieLens and NetFlix datasets.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Engineering Applications of Artificial Intelligence - Volume 25, Issue 7, October 2012, Pages 1403–1412
نویسندگان
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