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Information Retrieval: 26th China Conference, CCIR 2020, Xi'an, China, August 1416, 2020, Proceedings 1st ed. 2020 [Pehme köide]

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  • Formaat: Paperback / softback, 161 pages, kõrgus x laius: 235x155 mm, kaal: 454 g, 42 Illustrations, color; 6 Illustrations, black and white; XII, 161 p. 48 illus., 42 illus. in color., 1 Paperback / softback
  • Sari: Theoretical Computer Science and General Issues 12285
  • Ilmumisaeg: 31-Jul-2020
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030567249
  • ISBN-13: 9783030567248
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  • Pehme köide
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Information Retrieval: 26th China Conference, CCIR 2020, Xi'an, China, August 1416, 2020, Proceedings 1st ed. 2020Suurem pilt
  • Formaat: Paperback / softback, 161 pages, kõrgus x laius: 235x155 mm, kaal: 454 g, 42 Illustrations, color; 6 Illustrations, black and white; XII, 161 p. 48 illus., 42 illus. in color., 1 Paperback / softback
  • Sari: Theoretical Computer Science and General Issues 12285
  • Ilmumisaeg: 31-Jul-2020
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030567249
  • ISBN-13: 9783030567248
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783030567248.html
Märksõnad:
This book constitutes the refereed proceedings of the 26th China Conference on Information Retrieval, CCIR 2020, held in Xi'an, China, in August 2020.*The 12 full papers presented were carefully reviewed and selected from 102 submissions. The papers are organized in topical sections: search and recommendation, NLP for IR, and IR in finance.





* Due to the COVID-19 pandemic the conference was held online supplemented with local on-site events.

Search and Recommendation.- Improving Search Snippets in Context-aware Web Search Scenarios.- Investigating Fine-grained Usefulness Perception Process in Mobile Search.- ResFusion: A Residual Learning based Fusion Framework for CTR Prediction.- NLP for IR.- A Framework for Identifying Event's Relevance Comments in Twitter.- Enriching Pre-trained Language Model with Dependency Syntactic Information for Chemical-Protein Interaction Extraction.- Leveraging Label Semantics and Correlations for Judgment Prediction.- Position-aware hybrid attention network for Aspect-level Sentiment Analysis.- IR in Finance.- An Integrated Machine Learning Framework for Stock Price Prediction.- Empirical Research on Futures Trading Strategy Based on Time Series Algorithm.- Hierarchical Attention Network in Stock Prediction.- Online Topic Detection and Tracking System and its Application on Stock Market in China.- Semi-Supervised Sentiment Analysis for Chinese Stock Texts in Scarce Labeled Data Scenario and Price Prediction.