10 citations · 20 across the 8 of their papers we have counts for
4 papers · 1 filter
ContextGNN: Beyond Two-Tower Recommendation Systems
Yiwen Yuan, Zecheng Zhang, Xinwei He +10
Recommendation systems predominantly utilize two-tower architectures, which evaluate user-item rankings through the inner product of their respective embeddings. However, one key l…
TPRM: A Topic-based Personalized Ranking Model for Web Search
Minghui Huang, Wei Peng, Dong Wang
Ranking models have achieved promising results, but it remains challenging to design personalized ranking systems to leverage user profiles and semantic representations between que…
GQE-PRF: Generative Query Expansion with Pseudo-Relevance Feedback
Minghui Huang, Dong Wang, Shuang Liu +1
Query expansion with pseudo-relevance feedback (PRF) is a powerful approach to enhance the effectiveness in information retrieval. Recently, with the rapid advance of deep learning…
Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation
Zhe Xie, Chengxuan Liu, Yichi Zhang +3
Sequential recommendation as an emerging topic has attracted increasing attention due to its important practical significance. Models based on deep learning and attention mechanism…