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{ "item_title" : "Advances in Information Retrieval", "item_author" : [" Djoerd Hiemstra", "Marie-Francine Moens", "Josiane Mothe "], "item_description" : "This two-volume set LNCS 12656 and 12657 constitutes the refereed proceedings of the 43rd European Conference on IR Research, ECIR 2021, held virtually in March/April 2021, due to the COVID-19 pandemic.The 50 full papers presented together with 11 reproducibility papers, 39 short papers, 15 demonstration papers, 12 CLEF lab descriptions papers, 5 doctoral consortium papers, 5 workshop abstracts, and 8 tutorials abstracts were carefully reviewed and selected from 436 submissions. The accepted contributions cover the state of the art in IR: deep learning-based information retrieval techniques, use of entities and knowledge graphs, recommender systems, retrieval methods, information extraction, question answering, topic and prediction models, multimedia retrieval, and much more. ", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/03/072/239/3030722392_b.jpg", "price_data" : { "retail_price" : "179.99", "online_price" : "179.99", "our_price" : "179.99", "club_price" : "179.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Advances in Information Retrieval|Djoerd Hiemstra

Advances in Information Retrieval : 43rd European Conference on IR Research, Ecir 2021, Virtual Event, March 28 - April 1, 2021, Proceedings, Part II

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Overview

This two-volume set LNCS 12656 and 12657 constitutes the refereed proceedings of the 43rd European Conference on IR Research, ECIR 2021, held virtually in March/April 2021, due to the COVID-19 pandemic.

The 50 full papers presented together with 11 reproducibility papers, 39 short papers, 15 demonstration papers, 12 CLEF lab descriptions papers, 5 doctoral consortium papers, 5 workshop abstracts, and 8 tutorials abstracts were carefully reviewed and selected from 436 submissions.

The accepted contributions cover the state of the art in IR: deep learning-based information retrieval techniques, use of entities and knowledge graphs, recommender systems, retrieval methods, information extraction, question answering, topic and prediction models, multimedia retrieval, and much more.

This item is Non-Returnable

Details

  • ISBN-13: 9783030722395
  • ISBN-10: 3030722392
  • Publisher: Springer
  • Publish Date: March 2021
  • Dimensions: 9.21 x 6.14 x 1.54 inches
  • Shipping Weight: 2.35 pounds
  • Page Count: 738

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