most citedHierarchically Fusing Long and Short-Term User Interests for Click-Through Rate Prediction in Product Search

15 citations · 15 across the 1 of their papers we have counts for

collaborators

1 paper

cs.IR2023★ 15 cited

Hierarchically Fusing Long and Short-Term User Interests for Click-Through Rate Prediction in Product Search

Qijie Shen, Hong Wen, Jing Zhang +1

Estimating Click-Through Rate (CTR) is a vital yet challenging task in personalized product search. However, existing CTR methods still struggle in the product search settings due…