19 citations · 19 across the 3 of their papers we have counts for
3 papers
cs.IR2021
MultiHead MultiModal Deep Interest Recommendation Network
Mingbao Yang, ShaoBo Li, Zhou Peng +2
With the development of information technology, human beings are constantly producing a large amount of information at all times. How to obtain the information that users are inter…
cs.IR2020
Probabilistic Latent Factor Model for Collaborative Filtering with Bayesian Inference
Jiansheng Fang, Xiaoqing Zhang, Yan Hu +3
Latent Factor Model (LFM) is one of the most successful methods for Collaborative filtering (CF) in the recommendation system, in which both users and items are projected into a jo…
cs.IR2016★ 19 cited
Top-N Recommendation on Graphs
Zhao Kang, Chong Peng, Ming Yang +1
Recommender systems play an increasingly important role in online applications to help users find what they need or prefer. Collaborative filtering algorithms that generate predict…