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Information Retrieval

478 directly classified papers

Papers per year

Papers

Continuous-Time Regression Models for Longitudinal Networks NIPS 2011
Two-Layer Generalization Analysis for Ranking Using Rademacher Average NIPS 2010
Single versus Multiple Sorting in All Pairs Similarity Search ACML 2010
Exponential Family Graph Matching and Ranking NIPS 2009
Adapting to the Shifting Intent of Search Queries NIPS 2009
Rank-Approximate Nearest Neighbor Search: Retaining Meaning and Speed in High Dimensions NIPS 2009
Statistical Consistency of Top-k Ranking NIPS 2009
Modeling Social Annotation Data with Content Relevance using a Topic Model NIPS 2009
Learning to Rank by Optimizing NDCG Measure NIPS 2009
Ranking Measures and Loss Functions in Learning to Rank NIPS 2009
Locality-sensitive binary codes from shift-invariant kernels NIPS 2009
Polynomial Semantic Indexing NIPS 2009
Efficient Bregman Range Search NIPS 2009
Learning to Hash with Binary Reconstructive Embeddings NIPS 2009
Estimating Robust Query Models with Convex Optimization NIPS 2008
Global Ranking Using Continuous Conditional Random Fields NIPS 2008
Predictive Indexing for Fast Search NIPS 2008
Transfer Learning by Distribution Matching for Targeted Advertising NIPS 2008
Reconciling Real Scores with Binary Comparisons: A New Logistic Based Model for Ranking NIPS 2008
Structured ranking learning using cumulative distribution networks NIPS 2008
Forecasting Web Page Views: Methods and Observations JMLR 2008
Mining Internet-Scale Software Repositories NIPS 2007
McRank: Learning to Rank Using Multiple Classification and Gradient Boosting NIPS 2007
Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks NIPS 2007
A General Boosting Method and its Application to Learning Ranking Functions for Web Search NIPS 2007