DeepAI AI Chat
Log In Sign Up

Integrating User and Item Reviews in Deep Cooperative Neural Networks for Movie Recommendation

by   Aristeidis Karras, et al.
University of Patras

User evaluations include a significant quantity of information across online platforms. This information source has been neglected by the majority of existing recommendation systems, despite its potential to ease the sparsity issue and enhance the quality of suggestions. This work presents a deep model for concurrently learning item attributes and user behaviour from review text. Deep Cooperative Neural Network (DeepCoNN) is the suggested model consisting of two parallel neural networks connected in their final layers. One of the networks focuses on learning user behaviour from reviews submitted by the user, while the other network learns item attributes from user reviews. On top, a shared layer is added to connect these two networks. Similar to factorization machine approaches, the shared layer allows latent factors acquired for people and things to interact with each other. On a number of datasets, DeepCoNN surpasses all baseline recommendation systems, according to experimental findings.


page 1

page 2

page 3

page 4


TransNets: Learning to Transform for Recommendation

Recently, deep learning methods have been shown to improve the performan...

A Hierarchical Self-attentive Convolution Network for Review Modeling in Recommendation Systems

Using reviews to learn user and item representations is important for re...

Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation

Recently, recommender systems have been able to emit substantially impro...

Deep Neural Review Text Interaction for Recommendation Systems

Users' reviews contain valuable information which are not taken into acc...

Bi-convolution matrix factorization algorithm based on improved ConvMF

With the rapid development of information technology, "information overl...

Hierarchical BiGraph Neural Network as Recommendation Systems

Graph neural networks emerge as a promising modeling method for applicat...

Speed of Social Learning from Reviews in Non-Stationary Environments

Potential buyers of a product or service tend to first browse feedback f...