Weizhi Ma

Orcid: 0000-0001-5604-7527

According to our database1, Weizhi Ma authored at least 73 papers between 2015 and 2024.

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Bibliography

2024
Aiming at the Target: Filter Collaborative Information for Cross-Domain Recommendation.
CoRR, 2024

To Recommend or Not: Recommendability Identification in Conversations with Pre-trained Language Models.
CoRR, 2024

Sequential Recommendation with Latent Relations based on Large Language Model.
CoRR, 2024

Common Sense Enhanced Knowledge-based Recommendation with Large Language Model.
CoRR, 2024

A Situation-aware Enhancer for Personalized Recommendation.
CoRR, 2024

Citation-Enhanced Generation for LLM-based Chatbots.
CoRR, 2024

Multi-Agent Collaboration Framework for Recommender Systems.
CoRR, 2024

EasyRL4Rec: A User-Friendly Code Library for Reinforcement Learning Based Recommender Systems.
CoRR, 2024

Recommender for Its Purpose: Repeat and Exploration in Food Delivery Recommendations.
CoRR, 2024

Intersectional Two-sided Fairness in Recommendation.
CoRR, 2024

Understanding User Experience in Large Language Model Interactions.
CoRR, 2024

SiTunes: A Situational Music Recommendation Dataset with Physiological and Psychological Signals.
Proceedings of the 2024 ACM SIGIR Conference on Human Information Interaction and Retrieval, 2024

Jointly Modeling Spatio-Temporal Features of Tactile Signals for Action Classification.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A Survey on Dropout Methods and Experimental Verification in Recommendation.
IEEE Trans. Knowl. Data Eng., July, 2023

User Perception of Recommendation Explanation: Are Your Explanations What Users Need?
ACM Trans. Inf. Syst., April, 2023

User Behavior Simulation for Search Result Re-ranking.
ACM Trans. Inf. Syst., January, 2023

Sequential Recommendation with Multiple Contrast Signals.
ACM Trans. Inf. Syst., January, 2023

Revisiting Negative Sampling vs. Non-sampling in Implicit Recommendation.
ACM Trans. Inf. Syst., January, 2023

Information Retrieval meets Large Language Models: A strategic report from Chinese IR community.
AI Open, January, 2023

A Survey on the Fairness of Recommender Systems.
ACM Trans. Inf. Syst., 2023

Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community.
CoRR, 2023

Measuring Item Global Residual Value for Fair Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Intent-aware Ranking Ensemble for Personalized Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Two-sided Calibration for Quality-aware Responsible Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Collaborative Word-based Pre-trained Item Representation for Transferable Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2023

Research on Real-time Early Warning Mechanism of Aviation Safety Based on Finite State Machine Underlying in QAR Stream Data.
Proceedings of the 7th International Conference on Big Data and Internet of Things, 2023

2022
LegalGNN: Legal Information Enhanced Graph Neural Network for Recommendation.
ACM Trans. Inf. Syst., 2022

Contextualized Fairness for Recommender Systems in Premium Scenarios.
Big Data Res., 2022

A Cooperative Neural Information Retrieval Pipeline with Knowledge Enhanced Automatic Query Reformulation.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Towards Representation Alignment and Uniformity in Collaborative Filtering.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Make Fairness More Fair: Fair Item Utility Estimation and Exposure Re-Distribution.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Target Interest Distillation for Multi-Interest Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Global and Local Feature Interaction with Vision Transformer for Few-shot Image Classification.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

PEMP: Leveraging Physics Properties to Enhance Molecular Property Prediction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Toward Dynamic User Intention: Temporal Evolutionary Effects of Item Relations in Sequential Recommendation.
ACM Trans. Inf. Syst., 2021

A Hybrid Framework for Session Context Modeling.
ACM Trans. Inf. Syst., 2021

Know Yourself: Physical and Psychological Self-Awareness With Lifelog.
Frontiers Digit. Health, 2021

A Large-Scale Rich Context Query and Recommendation Dataset in Online Knowledge-Sharing.
CoRR, 2021

Topic-enhanced knowledge-aware retrieval model for diverse relevance estimation.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Temporal Cross-Effects in Knowledge Tracing.
Proceedings of the WSDM '21, 2021

Standing in Your Shoes: External Assessments for Personalized Recommender Systems.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Investigating Session Search Behavior with Knowledge Graphs.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Privacy-Aware Remote Information Retrieval User Experiments Logging Tool.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Diversify or Not: Dynamic Diversification for Personalized Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

A Difficulty-Aware Framework for Churn Prediction and Intervention in Games.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

WG4Rec: Modeling Textual Content with Word Graph for News Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Incorporating Query Reformulating Behavior into Web Search Evaluation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Modelling Dynamic Item Complementarity with Graph Neural Network for Recommendation.
Proceedings of the Information Retrieval - 27th China Conference, 2021

Graph Heterogeneous Multi-Relational Recommendation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Efficient Non-Sampling Factorization Machines for Optimal Context-Aware Recommendation.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Models Versus Satisfaction: Towards a Better Understanding of Evaluation Metrics.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Cascade or Recency: Constructing Better Evaluation Metrics for Session Search.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Make It a Chorus: Knowledge- and Time-aware Item Modeling for Sequential Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Beyond User Embedding Matrix: Learning to Hash for Modeling Large-Scale Users in Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Incorporating Knowledge and Content Information to Boost News Recommendation.
Proceedings of the Natural Language Processing and Chinese Computing, 2020

Negative Feedback Aware Hybrid Sequential Neural Recommendation Model.
Proceedings of the Natural Language Processing and Chinese Computing, 2020

A Multi-level Interactive Lifelog Search Engine with User Feedback.
Proceedings of the Third ACM Workshop on Lifelog Search Challenge, 2020

BERT-PLI: Modeling Paragraph-Level Interactions for Legal Case Retrieval.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Neural Logic Reasoning.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Learning Better Representations for Neural Information Retrieval with Graph Information.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems.
Proceedings of the World Wide Web Conference, 2019

Jointly Learning Explainable Rules for Recommendation with Knowledge Graph.
Proceedings of the World Wide Web Conference, 2019

Quality Effects on User Preferences and Behaviorsin Mobile News Streaming.
Proceedings of the World Wide Web Conference, 2019

Effects of User Negative Experience in Mobile News Streaming.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

An Efficient Adaptive Transfer Neural Network for Social-aware Recommendation.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Stance Influences Your Thoughts: Psychology-Inspired Social Media Analytics.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

2018
Your Tweets Reveal What You Like: Introducing Cross-media Content Information into Multi-domain Recommendation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
A Two-step Information Accumulation Strategy for Learning from Highly Imbalanced Data.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Finding the True Crowds: User Filtering in Microblogs.
Proceedings of the Natural Language Understanding and Intelligent Applications, 2016

Multi-Grained Role Labeling Based on Multi-Modality Information for Real Customer Service Telephone Conversation.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Beyond Your Interests: Exploring the Information Behind User Tags.
Proceedings of the Natural Language Processing and Chinese Computing - 4th CCF Conference, 2015


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