Cantitate/Preț
Produs
Total produse
Vezi coșul
Information Retrieval: 26th China Conference, CCIR 2020, Xi'an, China, August 14–16, 2020, Proceedings de Zhicheng Dou

Information Retrieval: 26th China Conference, CCIR 2020, Xi'an, China, August 14–16, 2020, Proceedings: Lecture Notes in Computer Science, cartea 12285

Editat de Zhicheng Dou, Qiguang Miao, Wei Lu, Jiaxin Mao, Guang Jia
en Limba Engleză Paperback – 31 iul 2020
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.
Citește tot Restrânge

Din seria Lecture Notes in Computer Science

Preț: 31404 lei

Preț vechi: 39255 lei
-20% Nou

Puncte Express: 471
Preț estimativ în valută:
5556€ • 6473$ • 4852£

Carte tipărită la comandă

Livrare economică 19 ianuarie-02 februarie 26

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783030567248
ISBN-10: 3030567249
Pagini: 161
Ilustrații: XII, 161 p. 48 illus., 42 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.25 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues

Locul publicării:Cham, Switzerland

Cuprins

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.