Cantitate/Preț
Produs
Total produse
Vezi coșul
Information Retrieval: 25th China Conference, CCIR 2019, Fuzhou, China, September 20–22, 2019, Proceedings de Qi Zhang

Information Retrieval: 25th China Conference, CCIR 2019, Fuzhou, China, September 20–22, 2019, Proceedings: Lecture Notes in Computer Science, cartea 11772

Editat de Qi Zhang, Xiangwen Liao, Zhaochun Ren
en Limba Engleză Paperback – 18 sep 2019
This book constitutes the refereed proceedings of the 25th China Conference on Information Retrieval, CCIR 2019, held in Fuzhou, China, in September 2019.
The 13 full papers presented were carefully reviewed and selected from 45 submissions.
Academic research is aimed at the precise acquisition of information and knowledge by human beings. The research results will support national strategic decision-making, promote the development of the Internet and IT fields, enhance the production efficiency of the industry, and have a major impact on various fields of social life.
Citește tot Restrânge

Din seria Lecture Notes in Computer Science

Preț: 32053 lei

Preț vechi: 40067 lei
-20% Nou

Puncte Express: 481
Preț estimativ în valută:
6134€ • 6372$ • 5095£

Carte tipărită la comandă

Livrare economică 03-17 februarie 25

 Adaugă în coș

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

Specificații

ISBN-13: 9783030316235
ISBN-10: 3030316238
Pagini: 300
Ilustrații: XII, 173 p. 44 illus., 29 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.27 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues

Locul publicării:Cham, Switzerland

Cuprins

Mining User Profiles from Query Log.- A User Effort Measurement for Query Selection.- Temporal Smoothing: Discriminatively Incorporating Various Temporal Profiles of Queries.- Simplified Representation Learning Model Based on Parameter-Sharing for Knowledge Graph Completion.- Temporal Convolutional Networks for Popularity Prediction of Messages on Social Medias.- Selecting Paragraphs to Answer Questions for Multi-Passage Machine Reading Comprehension.- Document-level Named Entity Recognition by Incorporating Global and Neighbor Features.- Investigating Query Reformulation Behavior of Search Users.- A Method for User Avatar Authenticity Based on Multi-feature Fusion.- Multi-granularity Convolutional Neural Network with Feature Fusion and Refinement for User Profiling.- Ensemble System for Identification of Cited Text Spans: Based on Two Steps of Feature Selection.- LTRRS: A Learning to Rank Based Algorithm for Resource Selection in Distributed Information Retrieval.- Joint Learning forAspect Category Detection and Sentiment Analysis in Chinese Reviews.