高婼嫄
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**Ruoyuan Gao**
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Towards Long-term Fairness in Recommendation
Counteracting Bias and Increasing Fairness in Search and Recommender Systems
Fairness-Aware Explainable Recommendation over Knowledge Graphs
Facets of Fairness in Search and Recommendation
How Fair Can We Go: Detecting the Boundaries of Fairness Optimization in Information Retrieval
Toward Creating a Fairer Ranking in Search Engine Results
Learning to interpret natural language instructions
Learning to interpret natural language instructions
Using an integrated feature set to generalize and justify the Chinese-to-English transferring rule of the `ZHE' aspect
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