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 an...

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Corporate Author: SpringerLink (Online service)
Other Authors: Dou, Zhicheng. (Editor, http://id.loc.gov/vocabulary/relators/edt), Miao, Qiguang. (Editor, http://id.loc.gov/vocabulary/relators/edt), Lu, Wei. (Editor, http://id.loc.gov/vocabulary/relators/edt), Mao, Jiaxin. (Editor, http://id.loc.gov/vocabulary/relators/edt), Jia, Guang. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2020.
Edition:1st ed. 2020.
Series:Theoretical Computer Science and General Issues ; 12285
Subjects:
Online Access:https://doi.org/10.1007/978-3-030-56725-5
Table of Contents:
  • 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.