Faster Training of Neural Networks for Recommender Systems
In this project we investigate the use of artificial neural networks(ANNs) as the core prediction function of a recommender system. In the past, research concerned with recommender systems that use ANNs have mainly concentrated on using collaborative-based information. We look at the effects of addi...
Main Author: | Kogel, Wendy E. |
---|---|
Other Authors: | Sergio A. Alvarez, Advisor |
Format: | Others |
Published: |
Digital WPI
2002
|
Subjects: | |
Online Access: | https://digitalcommons.wpi.edu/etd-theses/607 https://digitalcommons.wpi.edu/cgi/viewcontent.cgi?article=1606&context=etd-theses |
Similar Items
-
A Joint Neural Network for Session-Aware Recommendation
by: Yupu Guo, et al.
Published: (2020-01-01) -
Contextual Hybrid Session-Based News Recommendation With Recurrent Neural Networks
by: Gabriel De Souza P. Moreira, et al.
Published: (2019-01-01) -
Joint Implicit and Explicit Neural Networks for Question Recommendation in CQA Services
by: Hongkui Tu, et al.
Published: (2018-01-01) -
Recommendation System With Hierarchical Recurrent Neural Network for Long-Term Time Series
by: Byeongjin Choe, et al.
Published: (2021-01-01) -
An Efficient Adaptive Attention Neural Network for Social Recommendation
by: Munan Li, et al.
Published: (2020-01-01)