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 |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (XII, 161 p. 48 illus., 42 illus. in color.) |
Disciplina | 025.04 |
Collana | Theoretical Computer Science and General Issues |
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 |
ISBN | 3-030-56725-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
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. |
Record Nr. | UNISA-996418281103316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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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 |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (XII, 161 p. 48 illus., 42 illus. in color.) |
Disciplina | 025.04 |
Collana | Theoretical Computer Science and General Issues |
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 |
ISBN | 3-030-56725-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
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. |
Record Nr. | UNINA-9910416085703321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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