14 results on '"Liangjie Hong"'
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2. LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations.
3. Learning to Retrieve for Job Matching.
4. Collaborative Large Language Model for Recommender Systems.
5. Path-Specific Counterfactual Fairness for Recommender Systems.
6. Remote Work Optimization with Robust Multi-channel Graph Neural Networks.
7. Revenue, Relevance, Arbitrage and More: Joint Optimization Framework for Search Experiences in Two-Sided Marketplaces.
8. Learning Item-Interaction Embeddings for User Recommendations.
9. Joint Text Embedding for Personalized Content-based Recommendation.
10. On Sampling Strategies for Neural Network-based Collaborative Filtering.
11. An Ensemble-based Approach to Click-Through Rate Prediction for Promoted Listings at Etsy.
12. Learning Optimal Card Ranking from Query Reformulation.
13. An Unbiased Data Collection and Content Exploitation/Exploration Strategy for Personalization.
14. A Tutorial on Probabilistic Latent Semantic Analysis
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