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Information Retrieval : 26th China Conference, CCIR 2020, Xi'an, China, August 14-16, 2020, Proceedings / edited by Zhicheng Dou, Qiguang Miao, Wei Lu, Jiaxin Mao, Guang Jia.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 12285
- Theoretical Computer Science and General Issues, 2512-2029 ; 12285
- Language:
- English
- Subjects (All):
- Information storage and retrieval systems.
- Computer engineering.
- Computer networks.
- Database management.
- Electronic commerce.
- Social sciences-Data processing.
- Computers.
- Information Storage and Retrieval.
- Computer Engineering and Networks.
- Database Management.
- e-Commerce and e-Business.
- Computer Application in Social and Behavioral Sciences.
- Computing Milieux.
- Local Subjects:
- Information Storage and Retrieval.
- Computer Engineering and Networks.
- Database Management.
- e-Commerce and e-Business.
- Computer Application in Social and Behavioral Sciences.
- Computing Milieux.
- Physical Description:
- 1 online resource (XII, 161 pages) : 48 illustrations, 42 illustrations in color.
- Edition:
- 1st ed. 2020.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2020.
- System Details:
- text file PDF
- Summary:
- 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.
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-56725-5
- 9783030567255
- Access Restriction:
- Restricted for use by site license.
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