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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 Estimated delivery 3-12 business days Format Paperback Condition Brand New Description 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. 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. Details ISBN 163828198X ISBN-13 9781638281986 Title Efficient and Effective Tree-based and Neural Learning to Rank Author Sebastian Bruch, Claudio Lucchese, Franco Maria Nardini Format Paperback Year 2023 Pages 136 Publisher now publishers Inc GE_Item_ID:142444829; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

Price: 106.47 USD

Location: Fairfield, Ohio

End Time: 2024-11-25T04:15:29.000Z

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

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

ISBN-13: 9781638281986

Book Title: Efficient and Effective Tree-based and Neural Learning to Rank

Language: English

Publication Name: Efficient and Effective Tree-Based and Neural Learning to Rank

Publisher: Now Publishers

Publication Year: 2023

Subject: Information Technology

Item Weight: 7.2 Oz

Type: Textbook

Subject Area: Computers

Item Length: 9.2 in

Author: Franco Maria Nardini, Claudio Lucchese, Sebastian Bruch

Item Width: 6.1 in

Series: Foundations and Trends in Information Retrieval Ser.

Format: Trade Paperback

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