Information Retrieval 25th China Conference, CCIR 2019, Fuzhou, China, September 20-22, 2019, Proceedings /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Zhang, Qi (Editor, http://id.loc.gov/vocabulary/relators/edt), Liao, Xiangwen (Editor, http://id.loc.gov/vocabulary/relators/edt), Ren, Zhaochun (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Theoretical Computer Science and General Issues ; 11772
• Subjects: Information storage and retrieval.; Application software.; Database management.; Natural language processing (Computer science).; Information Storage and Retrieval.; Information Systems Applications (incl. Internet).; Database Management.; Natural Language Processing (NLP).; Computer Appl. in Social and Behavioral Sciences.

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 i...

Table of Contents:

• 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 for Aspect Category Detection and Sentiment Analysis in Chinese Reviews.