Information Retrieval
25th China Conference, CCIR 2019, Fuzhou, China, September 20-22, 2019, Proceedings
Published on 18. September 2019
Book
Paperback/Softback
XII, 173 pages
978-3-030-31623-5 (ISBN)
Description
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.
More details
Series
Edition
2019 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
29 farbige Abbildungen, 15 s/w Abbildungen
XII, 173 p. 44 illus., 29 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 11 mm
Weight
295 gr
ISBN-13
978-3-030-31623-5 (9783030316235)
DOI
10.1007/978-3-030-31624-2
Schweitzer Classification
Other editions
Additional editions
Qi Zhang | Xiangwen Liao | Zhaochun Ren
Information Retrieval
25th China Conference, CCIR 2019, Fuzhou, China, September 20-22, 2019, Proceedings
E-Book
09/2019
Springer
€53.49
Available for download
Content
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.