Information Retrieval (eBook, PDF)

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

• Format: PDF

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.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 161
• Erscheinungstermin: 10. August 2020
• Englisch
• ISBN-13: 9783030567255
• Artikelnr.: 59967629

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.