Z
Zhi-Hong Deng
Researcher at Sun Yat-sen University
Publications - 4
Citations - 198
Zhi-Hong Deng is an academic researcher from Sun Yat-sen University. The author has contributed to research in topics: Collaborative filtering & Matching (statistics). The author has an hindex of 3, co-authored 4 publications receiving 119 citations.
Papers
More filters
Journal ArticleDOI
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
TL;DR: A general framework named DeepCF, short for Deep Collaborative Filtering, is proposed, to combine the strengths of the two types of methods and overcome such flaws in dot product and low-rank relations respectively.
Journal ArticleDOI
Serendipitous Recommendation in E-Commerce Using Innovator-Based Collaborative Filtering
TL;DR: A novel recommendation algorithm termed innovator-based CF is proposed that can recommend cold items to users by introducing the concept of innovators, achieving the balance between serendipity and accuracy.
Posted Content
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
TL;DR: DeepCF as discussed by the authors combines the strengths of the two types of methods and overcome the weaknesses of low-rank relations by combining the strengths from representation learning and matching function learning to solve the matching problem.
Posted Content
BCFNet: A Balanced Collaborative Filtering Network with Attention Mechanism.
TL;DR: Zhang et al. as discussed by the authors proposed a balanced collaborative filtering network (BCFNet) which combines the strengths of representation learning and matching function learning to better capture hidden information within implicit feedback and strengthen the learning ability of neural network.