most citedA Unified Search and Recommendation Framework Based on Multi-Scenario Learning for Ranking in E-commerce

4 citations · 4 across the 1 of their papers we have counts for

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1 paper

cs.IR2024★ 4 cited

A Unified Search and Recommendation Framework Based on Multi-Scenario Learning for Ranking in E-commerce

Jinhan Liu, Qiyu Chen, Junjie Xu +3

Search and recommendation (S&R) are the two most important scenarios in e-commerce. The majority of users typically interact with products in S&R scenarios, indicating the need and…