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Personalized Transfer of User Preferences for Cross-domain
  Recommendation

Personalized Transfer of User Preferences for Cross-domain Recommendation

21 October 2021
Yongchun Zhu
Zhenwei Tang
Yudan Liu
Fuzhen Zhuang
Ruobing Xie
Xu-Yao Zhang
Leyu Lin
Qing He
ArXivPDFHTML

Papers citing "Personalized Transfer of User Preferences for Cross-domain Recommendation"

12 / 12 papers shown
Title
ABXI: Invariant Interest Adaptation for Task-Guided Cross-Domain Sequential Recommendation
ABXI: Invariant Interest Adaptation for Task-Guided Cross-Domain Sequential Recommendation
Qingtian Bian
Marcus Vinícius de Carvalho
Tieying Li
Jiaxing Xu
Hui Fang
Litong Feng
43
0
0
25 Jan 2025
Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation
Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation
Xiaodong Li
Hengzhu Tang
Jiawei Sheng
Xinghua Zhang
Li Gao
Suqi Cheng
Dawei Yin
Tingwen Liu
DiffM
71
1
0
20 Jan 2025
A Centralized-Distributed Transfer Model for Cross-Domain Recommendation
  Based on Multi-Source Heterogeneous Transfer Learning
A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning
Ke Xu
Ziliang Wang
Wei Zheng
Yuhao Ma
Chenglin Wang
Nengxue Jiang
Cai Cao
60
4
0
14 Nov 2024
FedPCL-CDR: A Federated Prototype-based Contrastive Learning Framework for Privacy-Preserving Cross-domain Recommendation
FedPCL-CDR: A Federated Prototype-based Contrastive Learning Framework for Privacy-Preserving Cross-domain Recommendation
Li Wang
Qiang Wu
Min Xu
25
1
0
05 Sep 2024
A Privacy-Preserving Framework with Multi-Modal Data for Cross-Domain
  Recommendation
A Privacy-Preserving Framework with Multi-Modal Data for Cross-Domain Recommendation
Li Wang
Lei Sang
Quangui Zhang
Qiang Wu
Min Xu
40
3
0
06 Mar 2024
Self-Supervised Interest Transfer Network via Prototypical Contrastive
  Learning for Recommendation
Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation
Guoqiang Sun
Yibin Shen
Sijing Zhou
Xiang Chen
Hongyan Liu
Chunming Wu
Chenyi Lei
Xianhui Wei
Fei Fang
20
10
0
28 Feb 2023
Knowledge Enhancement for Contrastive Multi-Behavior Recommendation
Knowledge Enhancement for Contrastive Multi-Behavior Recommendation
Hongrui Xuan
Yi Liu
Bohan Li
Hongzhi Yin
24
66
0
13 Jan 2023
BASM: A Bottom-up Adaptive Spatiotemporal Model for Online Food Ordering
  Service
BASM: A Bottom-up Adaptive Spatiotemporal Model for Online Food Ordering Service
Boya Du
Shaochuan Lin
Jiong Gao
Xiyu Ji
Mengya Wang
Taotao Zhou
Hengxu He
Jia Jia
Ning Hu
20
6
0
22 Nov 2022
Cohort comfort models -- Using occupants' similarity to predict personal
  thermal preference with less data
Cohort comfort models -- Using occupants' similarity to predict personal thermal preference with less data
Matias Quintana
S. Schiavon
F. Tartarini
Joyce Kim
Clayton Miller
AI4TS
13
27
0
05 Aug 2022
Multi-view Multi-behavior Contrastive Learning in Recommendation
Multi-view Multi-behavior Contrastive Learning in Recommendation
Yiqing Wu
Ruobing Xie
Yongchun Zhu
Xiang Ao
Xin Chen
Xu-Yao Zhang
Fuzhen Zhuang
Leyu Lin
Qing He
10
78
0
20 Mar 2022
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future
  Directions
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions
Tianzi Zang
Yanmin Zhu
Haobing Liu
Ruohan Zhang
Jiadi Yu
56
114
0
07 Aug 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
344
11,684
0
09 Mar 2017
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