Heterogeneous Graph-based Context-aware Document Ranking
Author:
Affiliation:
1. Renmin University of China, Beijing, China
2. University of Montreal, Montreal, PQ, Canada
Funder
Beijing Outstanding Young Scientist Program
Fundamental Re- search Funds for the Central Universities
National Natural Science Foundation of China
Research Funds of Renmin University of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3539597.3570390
Reference58 articles.
1. Wasi Uddin Ahmad Kai-Wei Chang and Hongning Wang. 2018. Multi-Task Learning for Document Ranking and Query Suggestion. In ICLR (Poster). Wasi Uddin Ahmad Kai-Wei Chang and Hongning Wang. 2018. Multi-Task Learning for Document Ranking and Query Suggestion. In ICLR (Poster).
2. Wasi Uddin Ahmad Kai-Wei Chang and Hongning Wang. 2019. Context Attentive Document Ranking and Query Suggestion. In SIGIR. Wasi Uddin Ahmad Kai-Wei Chang and Hongning Wang. 2019. Context Attentive Document Ranking and Query Suggestion. In SIGIR.
3. Huanhuan Cao Daxin Jiang Jian Pei Enhong Chen and Hang Li. 2009. Towards context-aware search by learning a very large variable length hidden markov model from search logs. In WWW. Huanhuan Cao Daxin Jiang Jian Pei Enhong Chen and Hang Li. 2009. Towards context-aware search by learning a very large variable length hidden markov model from search logs. In WWW.
4. Haonan Chen Zhicheng Dou Qiannan Zhu Xiaochen Zuo and Ji-Rong Wen. 2022b. Integrating Representation and Interaction for Context-Aware Document Ranking. (2022). Haonan Chen Zhicheng Dou Qiannan Zhu Xiaochen Zuo and Ji-Rong Wen. 2022b. Integrating Representation and Interaction for Context-Aware Document Ranking. (2022).
5. Haonan Chen Zhicheng Dou Yutao Zhu Zhao Cao Xiaohua Cheng and Ji-Rong Wen. 2022a. Enhancing User Behavior Sequence Modeling by Generative Tasks for Session Search. In CIKM. Haonan Chen Zhicheng Dou Yutao Zhu Zhao Cao Xiaohua Cheng and Ji-Rong Wen. 2022a. Enhancing User Behavior Sequence Modeling by Generative Tasks for Session Search. In CIKM.
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