Information Retrieval - 26th China Conference, CCIR 2020, Xi'an, China, August 14-16, 2020, Proceedings

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.

Inhaltsverzeichnis

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.

Produktdetails

• Mitarbeit: Zhicheng Dou (Herausgeber), Guang Jia (Herausgeber), Wei Lu (Herausgeber), Wei Lu et al (Herausgeber), Jiaxin Mao (Herausgeber), Qiguan Miao (Herausgeber), Qiguang Miao (Herausgeber)
• Verlag: Springer, Berlin
• Sprache: Englisch
• Produktform: Taschenbuch
• Erschienen: 31.10.2020
• EAN: 9783030567248
• ISBN: 978-3-0-3056724-8
• Seiten: 161
• Abmessung: 160 mm x 10 mm x 237 mm
• Gewicht: 277 g
• Illustration: XII, 161 p. 48 illus., 42 illus. in color.
• Serien: Lecture Notes in Computer Science; Theoretical Computer Science and General Issues
• Thema: Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Informatik