Search Results for author: Songlin Liu

Found 3 papers, 2 papers with code

A Hybrid Recommender System for Recommending Smartphones to Prospective Customers

no code implementations26 May 2021 Pratik K. Biswas, Songlin Liu

In this paper, we propose a hybrid recommender system, which combines Alternating Least Squares (ALS) based collaborative filtering with deep learning to enhance recommendation performance as well as overcome the limitations associated with the collaborative filtering approach, especially concerning its cold start problem.

Collaborative Filtering Recommendation Systems

Deep Prototypical Networks with Hybrid Residual Attention for Hyperspectral Image Classification

1 code implementation25 Jun 2020 Bobo Xi, Jiaojiao Li, Yunsong Li, Rui Song, Yanzi Shi, Songlin Liu, Qian Du

Recently, convolutional neural networks (CNNs) have attracted enormous attention in pattern recognition and demonstrated excellent performance in hyperspectral image (HSI) classification.

Classification General Classification +1

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