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🏛️ The Information Retrieval Crypt
cs.IR: Where Information Retrieval papers rest without their code.
11667
Total Papers
9061
No Code
371
Twilight
2235
Has Code
19.2%
Survival Rate
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Unified Matrix Factorization with Dynamic Multi-view Clustering
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Disentangled Counterfactual Reasoning for Unbiased Sequential Recommendation
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Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank
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Towards Better Query Classification with Multi-Expert Knowledge Condensation in JD Ads Search
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Analysing the Resourcefulness of the Paragraph for Precedence Retrieval
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ClusterSeq: Enhancing Sequential Recommender Systems with Clustering based Meta-Learning
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Unleash the Power of Context: Enhancing Large-Scale Recommender Systems with Context-Based Prediction Models
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Conformal Group Recommender System
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Methodologies for Improving Modern Industrial Recommender Systems
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Who Provides the Largest Megaphone? The Role of Google News in Promoting Russian State-Affiliated News Sources
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Deep Neural Aggregation for Recommending Items to Group of Users
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Modeling Orders of User Behaviors via Differentiable Sorting: A Multi-task Framework to Predicting User Post-click Conversion
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Intuitive Access to Smartphone Settings Using Relevance Model Trained by Contrastive Learning
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An IPW-based Unbiased Ranking Metric in Two-sided Markets
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NS4AR: A new, focused on sampling areas sampling method in graphical recommendation Systems
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Testing different Log Bases For Vector Model Weighting Technique
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A Network Resource Allocation Recommendation Method with An Improved Similarity Measure
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A Meta-Evaluation of C/W/L/A Metrics: System Ranking Similarity, System Ranking Consistency and Discriminative Power
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BHEISR: Nudging from Bias to Balance -- Promoting Belief Harmony by Eliminating Ideological Segregation in Knowledge-based Recommendations
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LogitMat : Zeroshot Learning Algorithm for Recommender Systems without Transfer Learning or Pretrained Models
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An Equivalent Graph Reconstruction Model and its Application in Recommendation Prediction
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DEKGCI: A double-sided recommendation model for integrating knowledge graph and user-item interaction graph
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