Jiarui Qin

Orcid: 0000-0002-9064-885X

According to our database1, Jiarui Qin authored at least 27 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems.
CoRR, 2024

2023
Learning to Retrieve User Behaviors for Click-through Rate Estimation.
ACM Trans. Inf. Syst., October, 2023

Learning to Distinguish Multi-User Coupling Behaviors for TV Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

A Survey on User Behavior Modeling in Recommender Systems.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Personalized Diversification for Neural Re-ranking in Recommendation.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network.
ACM Trans. Inf. Syst., 2022

Hole Filling of Single Building Point Cloud Considering Local Similarity among Floors.
Remote. Sens., 2022

Modeling vague spatiotemporal objects based on interval type-2 fuzzy sets.
Int. J. Geogr. Inf. Sci., 2022

Processes and events in the centre: a dynamic data model for representing spatial change.
Int. J. Digit. Earth, 2022

Interval type-2 fuzzy C-means forecasting model for fuzzy time series.
Appl. Soft Comput., 2022

PeerRank: Robust Learning to Rank With Peer Loss Over Noisy Labels.
IEEE Access, 2022

Improving Knowledge Tracing with Collaborative Information.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

RankFlow: Joint Optimization of Multi-Stage Cascade Ranking Systems as Flows.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Neural Re-ranking for Multi-stage Recommender Systems.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Neural Re-ranking in Multi-stage Recommender Systems: A Review.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Detecting Electromagnetic Geographical Environment Changes Based on the Frequency-Intensity Curve.
J. Sensors, 2021

Retrieval & Interaction Machine for Tabular Data Prediction.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Deep Learning for Click-Through Rate Estimation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network.
CoRR, 2020

Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

User Behavior Retrieval for Click-Through Rate Prediction.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019
Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Deep Landscape Forecasting for Real-time Bidding Advertising.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Deep Recurrent Survival Analysis.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019


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