4 citations · 4 across the 2 of their papers we have counts for
2 papers
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…
cs.IR2023
Synergistic Signals: Exploiting Co-Engagement and Semantic Links via Graph Neural Networks
Zijie Huang, Baolin Li, Hafez Asgharzadeh +5
Given a set of candidate entities (e.g. movie titles), the ability to identify similar entities is a core capability of many recommender systems. Most often this is achieved by col…