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When Search Meets Recommendation: Learning Disentangled Search
  Representation for Recommendation

When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation

18 May 2023
Zihua Si
ZhongXiang Sun
Xiao Zhang
Jun Xu
Xiaoxue Zang
Yang Song
Kun Gai
Jirong Wen
    AI4TS
ArXivPDFHTML

Papers citing "When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation"

4 / 4 papers shown
Title
MAPS: Motivation-Aware Personalized Search via LLM-Driven Consultation Alignment
Weicong Qin
Yi Xu
Weijie Yu
Chenglei Shen
Ming He
Jianping Fan
Xiao Zhang
Jun Xu
48
0
0
03 Mar 2025
Sequential LLM Framework for Fashion Recommendation
Sequential LLM Framework for Fashion Recommendation
Han Liu
Xianfeng Tang
Tianlang Chen
Jiapeng Liu
Indu Indu
...
Roberto Fernandez Galan
Michael D Porter
Dongmei Jia
Ning Zhang
Lian Xiong
AI4TS
33
1
0
15 Oct 2024
Filter-enhanced MLP is All You Need for Sequential Recommendation
Filter-enhanced MLP is All You Need for Sequential Recommendation
Kun Zhou
Hui Yu
Wayne Xin Zhao
Ji-Rong Wen
85
253
0
28 Feb 2022
USER: A Unified Information Search and Recommendation Model based on
  Integrated Behavior Sequence
USER: A Unified Information Search and Recommendation Model based on Integrated Behavior Sequence
Jing Yao
Zhicheng Dou
Ruobing Xie
Yanxiong Lu
Zhiping Wang
Ji-Rong Wen
57
21
0
30 Sep 2021
1