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Incorporating User Micro-behaviors and Item Knowledge into Multi-task
  Learning for Session-based Recommendation

Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
12 June 2020
Wenjing Meng
Deqing Yang
Yanghua Xiao
ArXiv (abs)PDFHTML

Papers citing "Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation"

22 / 22 papers shown
Title
Matryoshka Model Learning for Improved Elastic Student Models
Matryoshka Model Learning for Improved Elastic Student Models
Chetan Verma
Aditya Srinivas Timmaraju
Cho-Jui Hsieh
Suyash Damle
Ngot Bui
Y. Zhang
Wen Chen
Xin Liu
Prateek Jain
Inderjit S Dhillon
209
0
0
29 May 2025
A Survey on Side Information-driven Session-based Recommendation: From a Data-centric Perspective
A Survey on Side Information-driven Session-based Recommendation: From a Data-centric Perspective
Xiaokun Zhang
Bo Xu
Chenliang Li
Bowei He
Hongfei Lin
Chen Ma
Fenglong Ma
132
2
0
18 May 2025
Joint Modeling in Recommendations: A Survey
Joint Modeling in Recommendations: A Survey
Xiangyu Zhao
Yichao Wang
Bo Chen
Jingtong Gao
Yuhao Wang
Xiaopeng Li
Pengyue Jia
Qiang Liu
Huifeng Guo
Ruiming Tang
113
1
0
28 Feb 2025
Graph and Sequential Neural Networks in Session-based Recommendation: A Survey
Graph and Sequential Neural Networks in Session-based Recommendation: A Survey
Zihao Li
Chao Yang
Yakun Chen
Xianzhi Wang
Hongxu Chen
Guandong Xu
Lina Yao
Quan Z. Sheng
GNN
126
15
0
27 Aug 2024
Forecasting Live Chat Intent from Browsing History
Forecasting Live Chat Intent from Browsing History
Se-eun Yoon
Ahmad Bin Rabiah
Zaid Alibadi
Surya Kallumadi
Julian McAuley
AI4TS
104
1
0
07 Aug 2024
Making Recommender Systems More Knowledgeable: A Framework to
  Incorporate Side Information
Making Recommender Systems More Knowledgeable: A Framework to Incorporate Side Information
Yukun Jiang
Leo Guo
Xinyi Chen
Jing Xi Liu
45
0
0
02 Jun 2024
A Survey of Reasoning for Substitution Relationships: Definitions,
  Methods, and Directions
A Survey of Reasoning for Substitution Relationships: Definitions, Methods, and Directions
Anxin Yang
Zhijuan Du
Tao Sun
98
0
0
09 Apr 2024
Identifying Shopping Intent in Product QA for Proactive Recommendations
Identifying Shopping Intent in Product QA for Proactive Recommendations
B. Fetahu
Nachshon Cohen
Elad Haramaty
L. Lewin-Eytan
Oleg Rokhlenko
S. Malmasi
92
0
0
09 Apr 2024
Re2LLM: Reflective Reinforcement Large Language Model for Session-based
  Recommendation
Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation
Ziyan Wang
Yingpeng Du
Zhu Sun
Haoyan Chua
Kaidong Feng
Wenya Wang
Jie Zhang
LRMKELM
146
8
0
25 Mar 2024
Personalized Behavior-Aware Transformer for Multi-Behavior Sequential
  Recommendation
Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation
Jiajie Su
Chaochao Chen
Zibin Lin
Xi Li
Weiming Liu
Xiaolin Zheng
116
34
0
22 Feb 2024
BMLP: Behavior-aware MLP for Heterogeneous Sequential Recommendation
BMLP: Behavior-aware MLP for Heterogeneous Sequential Recommendation
Weixin Li
Yuhao Wu
Yang Liu
Weike Pan
Zhong Ming
111
4
0
20 Feb 2024
FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning
FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning
Sejoon Oh
Berk Ustun
Julian McAuley
Srijan Kumar
91
2
0
05 Feb 2024
Towards Open-world Cross-Domain Sequential Recommendation: A
  Model-Agnostic Contrastive Denoising Approach
Towards Open-world Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach
Wujiang Xu
Xuying Ning
Wenfang Lin
Mingming Ha
Qiongxu Ma
Qianqiao Liang
Xuewen Tao
Lin Chen
Bing Han
Minnan Luo
125
6
0
08 Nov 2023
Hierarchical Multi-Task Learning Framework for Session-based
  Recommendations
Hierarchical Multi-Task Learning Framework for Session-based Recommendations
Sejoon Oh
Walid Shalaby
Amir Afsharinejad
Xiquan Cui
66
2
0
12 Sep 2023
Uncovering the Unseen: Discover Hidden Intentions by Micro-Behavior
  Graph Reasoning
Uncovering the Unseen: Discover Hidden Intentions by Micro-Behavior Graph Reasoning
Zhuo Zhou
Wenxuan Liu
Danni Xu
Zheng Wang
Jian Zhao
145
7
0
29 Aug 2023
A Survey on User Behavior Modeling in Recommender Systems
A Survey on User Behavior Modeling in Recommender Systems
Zhicheng He
Weiwen Liu
Wei Guo
Jiarui Qin
Yingxue Zhang
Yaochen Hu
Ruiming Tang
164
38
0
22 Feb 2023
Nimbus: Toward Speed Up Function Signature Recovery via Input Resizing
  and Multi-Task Learning
Nimbus: Toward Speed Up Function Signature Recovery via Input Resizing and Multi-Task Learning
Yi Qian
Ligeng Chen
Yuyang Wang
Bing Mao
103
0
0
08 Nov 2022
Heterogeneous Information Crossing on Graphs for Session-based
  Recommender Systems
Heterogeneous Information Crossing on Graphs for Session-based Recommender Systems
Xiaolin Zheng
Rui Wu
Zhongxuan Han
Chaochao Chen
Lin Chen
Bing Han
114
8
0
24 Oct 2022
M2TRec: Metadata-aware Multi-task Transformer for Large-scale and
  Cold-start free Session-based Recommendations
M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based Recommendations
Walid Shalaby
Sejoon Oh
Amir Afsharinejad
Srijan Kumar
Xiquan Cui
150
30
0
23 Sep 2022
Multi-Behavior Sequential Recommendation with Temporal Graph Transformer
Multi-Behavior Sequential Recommendation with Temporal Graph Transformer
Lianghao Xia
Chao Huang
Yong-mei Xu
Jiangsen Pei
HAI
167
65
0
06 Jun 2022
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative
  Filtering to Information-rich Recommendation
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation
Le Wu
Xiangnan He
Xiang Wang
Kun Zhang
Meng Wang
HAI
214
330
0
27 Apr 2021
Hierarchical Attentive Knowledge Graph Embedding for Personalized
  Recommendation
Hierarchical Attentive Knowledge Graph Embedding for Personalized Recommendation
Xiao Sha
Zhu Sun
Jie Zhang
226
71
0
18 Oct 2019
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