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Paragon: Parameter Generation for Controllable Multi-Task Recommendation
v1v2 (latest)

Paragon: Parameter Generation for Controllable Multi-Task Recommendation

ACM Conference on Recommender Systems (RecSys), 2024
14 October 2024
Chenglei Shen
Jiahao Zhao
Xiao Zhang
Weijie Yu
Ming He
Jianping Fan
ArXiv (abs)PDFHTML

Papers citing "Paragon: Parameter Generation for Controllable Multi-Task Recommendation"

4 / 4 papers shown
Title
Bone Soups: A Seek-and-Soup Model Merging Approach for Controllable Multi-Objective Generation
Bone Soups: A Seek-and-Soup Model Merging Approach for Controllable Multi-Objective Generation
Guofu Xie
Xiao Zhang
Ting Yao
Yunsheng Shi
MoMe
227
2
0
15 Feb 2025
Diffusion Models in Recommendation Systems: A Survey
Diffusion Models in Recommendation Systems: A Survey
Ting-Ruen Wei
Yi Fang
338
4
0
17 Jan 2025
Future-Conditioned Recommendations with Multi-Objective Controllable Decision Transformer
Future-Conditioned Recommendations with Multi-Objective Controllable Decision Transformer
Chongming Gao
Kexin Huang
Ziang Fei
Jiaju Chen
Jianfei Chen
Jianshan Sun
Shuchang Liu
Qingpeng Cai
Peng Jiang
OffRL
81
2
0
13 Jan 2025
A Survey of Controllable Learning: Methods and Applications in Information Retrieval
A Survey of Controllable Learning: Methods and Applications in Information Retrieval
Chenglei Shen
Xiao Zhang
Teng Shi
Changshuo Zhang
Guofu Xie
Jun Xu
294
8
0
04 Jul 2024
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