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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

12 June 2020
Wenjing Meng
Deqing Yang
Yanghua Xiao
ArXivPDFHTML

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

20 / 20 papers shown
Title
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
2
0
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
39
0
0
28 Feb 2025
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
36
0
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
26
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
32
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
27
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
LRM
KELM
33
5
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
38
23
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
35
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
27
1
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
23
5
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
20
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
21
6
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
61
30
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
32
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
26
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
73
28
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
33
50
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
32
283
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
36
63
0
18 Oct 2019
1