2 citations · 4 across the 7 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
cs.IR2022★ 1 cited
Dynamic collaborative filtering Thompson Sampling for cross-domain advertisements recommendation
Shion Ishikawa, Young-joo Chung, Yu Hirate
Recently online advertisers utilize Recommender systems (RSs) for display advertising to improve users' engagement. The contextual bandit model is a widely used RS to exploit and e…
cs.IR2022★ 1 cited
KQGC: Knowledge Graph Embedding with Smoothing Effects of Graph Convolutions for Recommendation
Daisuke Kikuta, Toyotaro Suzumura, Md Mostafizur Rahman +5
Leveraging graphs on recommender systems has gained popularity with the development of graph representation learning (GRL). In particular, knowledge graph embedding (KGE) and graph…