8 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.IR2023
A Social-aware Gaussian Pre-trained Model for Effective Cold-start Recommendation
Siwei Liu, Xi Wang, Craig Macdonald +1
The use of pre-training is an emerging technique to enhance a neural model's performance, which has been shown to be effective for many neural language models such as BERT. This te…
cs.IR2021★ 8 cited
Graph Neural Pre-training for Enhancing Recommendations using Side Information
Zaiqiao Meng, Siwei Liu, Craig Macdonald +1
Leveraging the side information associated with entities (i.e. users and items) to enhance the performance of recommendation systems has been widely recognized as an important mode…
cs.IR2019
Re-ranking Based Diversification: A Unifying View
Shameem A Puthiya Parambath
We analyze different re-ranking algorithms for diversification and show that majority of them are based on maximizing submodular/modular functions from the class of parameterized c…