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Efficient Document-at-a-Time and Score-at-a-Time Query Evaluation for Learned Sparse Representations

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Decoding billions of integers per second through vectorization
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Micro‐ and macro‐optimizations of S aa T search
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From MAXSCORE to Block-Max Wand: The Story of How Lucene Significantly Improved Query Evaluation Performance
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Sorting Out the Document Identifier Assignment Problem
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The role of index compression in score-at-a-time query evaluation
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Waves: a fast multi-tier top-k query processing algorithm
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Query evaluation: Strategies and optimizations
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2009 IEEE 25th International Conference on Data Engineering
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Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs
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Inverted files for text search engines
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Learning to efficiently rank
inferredcites →https://doi.org/10.1145/2009916.2009934openalex-snapshot
A cascade ranking model for efficient ranked retrieval
inferredcites →https://doi.org/10.1145/2009916.2010048openalex-snapshot
Faster top-k document retrieval using block-max indexes
inferredcites →https://doi.org/10.1145/2408776.2408794openalex-snapshot
The tail at scale
inferredcites →https://doi.org/10.1145/2433396.2433412openalex-snapshot
Optimizing top-k document retrieval strategies for block-max indexes
inferredcites →https://doi.org/10.1145/2537734.2537744openalex-snapshot
Exploring the magic of WAND
inferredcites →https://doi.org/10.1145/2808194.2809477openalex-snapshot
Anytime Ranking for Impact-Ordered Indexes
inferredcites →https://doi.org/10.1145/290941.291008openalex-snapshot
A language modeling approach to information retrieval
inferredcites →https://doi.org/10.1145/2939672.2939862openalex-snapshot
Compressing Graphs and Indexes with Recursive Graph Bisection
inferredcites →https://doi.org/10.1145/3015022.3015026openalex-snapshot
Dynamic Cutoff Prediction in Multi-Stage Retrieval Systems
inferredcites →https://doi.org/10.1145/3018661.3018726openalex-snapshot
A Comparison of Document-at-a-Time and Score-at-a-Time Query Evaluation
inferredcites →https://doi.org/10.1145/3077136.3080780openalex-snapshot
Faster BlockMax WAND with Variable-sized Blocks
inferredcites →https://doi.org/10.1145/3159652.3159676openalex-snapshot
Query Driven Algorithm Selection in Early Stage Retrieval
inferredcites →https://doi.org/10.1145/3166072.3166073openalex-snapshot
Early Termination Heuristics for Score-at-a-Time Index Traversal
inferredcites →https://doi.org/10.1145/3239571openalex-snapshot
Anserini
inferredcites →https://doi.org/10.1145/3291992.3292001openalex-snapshot
Elias Revisited
inferredcites →https://doi.org/10.1145/3397271.3401263openalex-snapshot
Efficiency Implications of Term Weighting for Passage Retrieval
inferredcites →https://doi.org/10.1145/3397271.3401404openalex-snapshot
Supporting Interoperability Between Open-Source Search Engines with the Common Index File Format
inferredcites →https://doi.org/10.1145/3404835.3462922openalex-snapshot
TILDE: Term Independent Likelihood moDEl for Passage Re-ranking
inferredcites →https://doi.org/10.1145/3404835.3462991openalex-snapshot
Faster Index Reordering with Bipartite Graph Partitioning
inferredcites →https://doi.org/10.1145/3404835.3463030openalex-snapshot
Learning Passage Impacts for Inverted Indexes
inferredcites →https://doi.org/10.1145/3404835.3463098openalex-snapshot
SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking
inferredcites →https://doi.org/10.1145/3404835.3463238openalex-snapshot
Pyserini: A Python Toolkit for Reproducible Information Retrieval Research with Sparse and Dense Representations
inferredcites →https://doi.org/10.1145/3415148openalex-snapshot
Techniques for Inverted Index Compression
inferredcites →https://doi.org/10.1145/3437963.3441813openalex-snapshot
Fast Disjunctive Candidate Generation Using Live Block Filtering
inferredcites →https://doi.org/10.1145/3467890openalex-snapshot
Anytime Ranking on Document-Ordered Indexes
inferredcites →https://doi.org/10.1145/3488560.3498489openalex-snapshot
Using Conjunctions for Faster Disjunctive Top-k Queries
inferredcites →https://doi.org/10.1145/3527546.3527552openalex-snapshot
A proposed conceptual framework for a representational approach to information retrieval
inferredcites →https://doi.org/10.1145/383952.383957openalex-snapshot
Vector-space ranking with effective early termination
inferredcites →https://doi.org/10.1145/582415.582416openalex-snapshot
Probabilistic models of information retrieval based on measuring the divergence from randomness
inferredcites →https://doi.org/10.1145/956863.956944openalex-snapshot
Efficient query evaluation using a two-level retrieval process
inferredcites →https://doi.org/10.14778/3402755.3402756openalex-snapshot
Evaluation strategies for top-k queries over memory-resident inverted indexes
inferredcites →https://doi.org/10.1561/1500000019openalex-snapshot
The Probabilistic Relevance Framework: BM25 and Beyond
inferredcites →https://doi.org/10.1561/1500000057openalex-snapshot
Efficient Query Processing for Scalable Web Search
inferredcites →https://doi.org/10.1609/aimag.v17i3.1232openalex-snapshot
Using anytime algorithms in intelligent systems
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.550openalex-snapshot
Dense Passage Retrieval for Open-Domain Question Answering
inferredcites →https://doi.org/10.2200/s01123ed1v01y202108hlt053openalex-snapshot
Pretrained Transformers for Text Ranking: BERT and Beyond
inferredcites →https://doi.org/10.3115/1073083openalex-snapshot
Proceedings of the 40th Annual Meeting on Association for Computational Linguistics - ACL '02
inferredcites →https://doi.org/10.48550/arxiv.1910.10683openalex-snapshot
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-031-28241-6_7openalex-snapshot
A Unified Framework for Learned Sparse Retrieval
inferred← citeshttps://doi.org/10.1007/978-3-032-21324-2_1openalex-snapshot
Fast, Compact, Immediate-Access Indexing for Learned Sparse Retrieval Systems
inferred← citeshttps://doi.org/10.1145/3539618.3591806openalex-snapshot
Profiling and Visualizing Dynamic Pruning Algorithms
inferred← citeshttps://doi.org/10.1145/3539618.3591922openalex-snapshot
ReNeuIR at SIGIR 2023: The Second Workshop on Reaching Efficiency in Neural Information Retrieval
inferred← citeshttps://doi.org/10.1145/3539618.3591941openalex-snapshot
A Static Pruning Study on Sparse Neural Retrievers
inferred← citeshttps://doi.org/10.1145/3578337.3605129openalex-snapshot
Exploring the Representation Power of SPLADE Models
inferred← citeshttps://doi.org/10.1145/3626772.3657769openalex-snapshot
Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations
inferred← citeshttps://doi.org/10.1145/3626772.3657850openalex-snapshot
Revisiting Document Expansion and Filtering for Effective First-Stage Retrieval
inferred← citeshttps://doi.org/10.1145/3626772.3657906openalex-snapshot
Faster Learned Sparse Retrieval with Block-Max Pruning
inferred← citeshttps://doi.org/10.1145/3637528.3671654openalex-snapshot
Text Matching Indexers in Taobao Search
inferred← citeshttps://doi.org/10.1145/3665324openalex-snapshot
Bridging Dense and Sparse Maximum Inner Product Search
inferred← citeshttps://doi.org/10.1145/3673791.3698405openalex-snapshot
Rank-Biased Quality Measurement for Sets and Rankings
inferred← citeshttps://doi.org/10.1145/3701551.3703482openalex-snapshot
Advances in Vector Search
inferred← citeshttps://doi.org/10.1145/3726302.3730197openalex-snapshot
Fast and Effective Early Termination for Simple Ranking Functions
inferred← citeshttps://doi.org/10.1145/3726302.3730281openalex-snapshot
Gosling Grows Up: Retrieval with Learned Dense and Sparse Representations Using Anserini
inferred← citeshttps://doi.org/10.1145/3726302.3731693openalex-snapshot
Neural Lexical Search with Learned Sparse Retrieval
inferred← citeshttps://doi.org/10.1145/3805712.3808554openalex-snapshot
Insights into the Efficiency of Open-Source Score-at-a-Time Search Engines: A Reproducibility Study
inferred← citeshttps://doi.org/10.70675/0e6d7bcbz4ddbz45bczb909z78ab26702a56openalex-snapshot
Towards Effective, Efficient and Explainable Neural Information Retrieval
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