Information Retrieval [[electronic resource] ] : 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

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
• Edizione: 1st ed. 2020.
• Descrizione fisica: 1 online resource (XII, 161 p. 48 illus., 42 illus. in color.)
• Disciplina: 025.04
• Soggetto topico: 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
• Persona (resp. second.): DouZhicheng; MiaoQiguang; LuWei; MaoJiaxin; JiaGuang
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Information retrieval
• ISBN: 3-030-56725-7
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996418281103316
• Lo trovi qui: Univ. di Salerno
• Serie: Theoretical Computer Science and General Issues, . 2512-2029 ; ; 12285