Efficient and Effective Tree-based and Neural Learning to Rank by Sebastian Bruc

Description: Efficient and Effective Tree-based and Neural Learning to Rank by Sebastian Bruch, Claudio Lucchese, Franco Maria Nardini Promotes the study of efficiency in the era of neural information retrieval by offering a comprehensive survey of the literature on efficiency and effectiveness in ranking and retrieval. FORMAT Paperback CONDITION Brand New Publisher Description Information retrieval researchers develop algorithmic solutions to hard problems and insist on a proper, multifaceted evaluation of ideas. As we move towards even more complex deep learning models in a wide range of applications, questions on efficiency once again resurface with renewed urgency. Efficiency is no longer limited to time and space but has found new, challenging dimensions that stretch to resource-, sample- and energy-efficiency with ramifications for researchers, users, and the environment.This monograph takes a step towards promoting the study of efficiency in the era of neural information retrieval by offering a comprehensive survey of the literature on efficiency and effectiveness in ranking and retrieval. It is inspired by the parallels that exist between the challenges in neural network-based ranking solutions and their predecessors, decision forest-based learning-to-rank models, and the connections between the solutions the literature to date has to offer. By understanding the fundamentals underpinning these algorithmic and data structure solutions one can better identify future directions and more efficiently determine the merits of ideas. Table of Contents 1. Introduction2. Learning to Rank: A Machine Learning Formulation of Ranking3. Efficiency Challenges in Learning to Rank4. Tree-based Learning to Rank5. Training Efficient Tree-based Models6. Efficient Inference of Tree-based Models7. Neural Learning to Rank8. Efficiency in Neural Learning to Rank9. Discussion and Open ChallengesAcknowledgementsReferences Details ISBN163828198X Author Franco Maria Nardini Pages 136 Publisher now publishers Inc Year 2023 ISBN-13 9781638281986 Format Paperback Publication Date 2023-05-15 Imprint now publishers Inc Place of Publication Hanover Country of Publication United States AU Release Date 2023-05-15 NZ Release Date 2023-05-15 US Release Date 2023-05-15 UK Release Date 2023-05-15 Series Foundations and Trends® in Information Retrieval Alternative 9781638281993 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:159521171;

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