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Craig Macdonald

IR from Bag-of-words to BERT and Beyond with PyTerrier
Declarative Experimentation in Information Retrieval
Using an Inverted Index Synopsis for Query Latency and Performance Prediction
Efficient Query Processing Infrastructures
Efficient Query Processing for Scalable Web Search
Upper Bound Approximation for BlockMaxWand
Efficient & Effective Selective Query Rewriting with Efficiency Predictions
Efficient Query Processing Infrastructures
Load-sensitive CPU Power Management for Web Search Engines
Queuing Theory-based Latency/Power Tradeoff Models for Replicated Search Engines
Towards Green Information Retrieval: Studying the Suitability of Queueing Theory in Reducing Power Consumption
A Self-Adapting Latency/Power Tradeoff Model for Replicated Search Engines
Load-Sensitive Selective Pruning for Distributed Search
Query Processing in Highly-Loaded Search Engines
Hybrid Query Scheduling for a Replicated Search Engine
Efficient and effective retrieval using selective pruning
Effect of Dynamic Pruning Safety on Learning to Rank Effectiveness
Learning to Predict Response Times for Online Query Scheduling
Scheduling Queries Across Replicas
On Upper Bounds for Dynamic Pruning
Effect of Different Docid Orderings on Dynamic Pruning Retrieval Strategies
Upper-bound Approximations for Dynamic Pruning
IR from Bag-of-words to BERT and Beyond with PyTerrier