Information Retrieval
Springer International Publishing (Verlag)
978-3-030-56724-8 (ISBN)
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.
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.
Erscheinungsdatum | 02.08.2020 |
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Reihe/Serie | Lecture Notes in Computer Science | Theoretical Computer Science and General Issues |
Zusatzinfo | XII, 161 p. 48 illus., 42 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 454 g |
Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
Schlagworte | Applications • Artificial Intelligence • Computer Science • computer vision • conference proceedings • Databases • Economics • Informatics • Information Retrieval • Internet • Investments • machine learning • Natural Language Processing (NLP) • Neural networks • Research • Semantics • Social Networks • World Wide Web |
ISBN-10 | 3-030-56724-9 / 3030567249 |
ISBN-13 | 978-3-030-56724-8 / 9783030567248 |
Zustand | Neuware |
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