Information Retrieval

26th China Conference, CCIR 2020, Xi'an, China, August 14¿16, 2020, Proceedings
Herausgegeben:Dou, Zhicheng; Miao, Qiguang; Lu, Wei; Mao, Jiaxin; Jia, Guang

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Theoretical Computer Science and General Issues 12285
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-030-56724-8
• 1st ed. 2020
• Seitenzahl: 176
• Erscheinungstermin: 31. Juli 2020
• Englisch
• Abmessung: 235mm x 155mm x 10mm
• Gewicht: 277g
• ISBN-13: 9783030567248
• ISBN-10: 3030567249
• Artikelnr.: 59809504

Inhaltsangabe

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.