5 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.IR2025
OneRec Technical Report
Guorui Zhou, Jiaxin Deng, Jinghao Zhang +62
Recommender systems have been widely used in various large-scale user-oriented platforms for many years. However, compared to the rapid developments in the AI community, recommenda…
cs.IR2025★ 5 cited
OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment
Jiaxin Deng, Shiyao Wang, Kuo Cai +5
Recently, generative retrieval-based recommendation systems have emerged as a promising paradigm. However, most modern recommender systems adopt a retrieve-and-rank strategy, where…
cs.IR2024
CRM: Retrieval Model with Controllable Condition
Chi Liu, Jiangxia Cao, Rui Huang +5
Retrieval models for recommendation need to account for outcomes such as watch time while searching large item corpora efficiently. We present the Controllable Retrieval Model (CRM…