Description |
1 online resource (xii, 173 pages) : illustrations (some color) |
Series |
Lecture notes in computer science ; 11772 |
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LNCS sublibrary. SL 1, Theoretical computer science and general issues |
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Lecture notes in computer science ; 11772.
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LNCS sublibrary. SL 1, Theoretical computer science and general issues.
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Contents |
Intro; Preface; Organization; Contents; Query Processing and Retrieval; Mining User Profiles from Query Log; 1 Introduction; 2 Related Work; 3 Approach; 3.1 Query Representation; 3.2 User Representation; 4 Model Initialization; 4.1 Embedding Initialization; 4.2 Topic Initialization; 5 Model Learning; 5.1 Addressing Label Noise; 5.2 Multi-task Learning; 6 Experiment Setup; 6.1 Dataset; 6.2 Compared Methods; 6.3 Implementation Details; 6.4 Evaluation Metric; 6.5 Results and Discussion; 7 Conclusions; References; A User Effort Measurement for Query Selection; 1 Introduction; 2 Related Works |
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3 User Effort Measurement4 Statistical Results; 5 Descriptive Examples; 6 Simulation Results; 7 Conclusion; 8 Discussion; References; Temporal Smoothing: Discriminatively Incorporating Various Temporal Profiles of Queries; 1 Introduction; 2 Related Work; 2.1 Document-Dependent Smoothing Methods; 2.2 Time-Sensitive Smoothing Methods; 3 Temporal Smoothing; 3.1 Temporal Profile; 3.2 Temporal Query Model; 3.3 Temporal Smoothing by Using Background Temporal Model; 3.4 An Unified Solution; 4 Experiment and Evaluation; 4.1 Corpus; 4.2 Queries; 4.3 Temporal Smoothing Result; 4.4 Retrieval Result |
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4.5 Analysing and Evaluating5 Conclusions and Future Work; References; Investigating Query Reformulation Behavior of Search Users; 1 Introduction; 2 Related Work; 3 Dataset; 4 Session-Level User Reformulation Behavior Analysis; 4.1 Analysis of Session-Level User Reformulation Pattern; 4.2 User Reformulation Behavior; 4.3 Conclusions; 5 Discussions and Future Work; References; LTRRS: A Learning to Rank Based Algorithm for Resource Selection in Distributed Information Retrieval; Abstract; 1 Introduction; 2 Related Works; 2.1 Large-Document Methods; 2.2 Small-Document Methods |
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2.3 Supervised Methods3 Framework; 3.1 Definitions; 3.2 Architecture; 3.3 Preprocess Module; 3.4 Resource Description Module; 3.5 Learning Module; 4 Multi-scale Features; 4.1 Term Matching Features; 4.2 CSI-Based Features; 4.3 Topical Relevance Features; 5 The Proposed Algorithm; 6 Experiments; 6.1 Dataset; 6.2 CSI Setup; 6.3 Result Analysis; 6.3.1 Performance Comparison; 6.3.2 Feature Analysis; 7 Conclusion; Acknowledgement; References; Knowledge and Entities; Simplified Representation Learning Model Based on Parameter-Sharing for Knowledge Graph Completion; 1 Introduction |
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2 Notation and Definition3 Related Work; 4 Simplified Representation Learning Model Based on Parameter-Sharing for Knowledge Graph Completion; 4.1 Overview; 4.2 Optimization; 5 Experiments; 5.1 Experiment Settings; 5.2 Link Prediction; 5.3 Triple Classification; 6 Conclusions; References; Document-Level Named Entity Recognition by Incorporating Global and Neighbor Features; 1 Introduction; 2 Related Work; 2.1 Sentence-Level NER; 2.2 Document-Level NER; 3 Our Document-Level NER Model: GNG; 3.1 Sentence-Level Bi-directional LSTM; 3.2 Document-Level Module; 3.3 CRF Layer; 4 Experiments |
Summary |
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. -- Provided by publisher |
Notes |
International conference proceedings |
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Includes author index |
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Online resource; title from PDF title page (SpringerLink, viewed September 27, 2019) |
Subject |
Information retrieval -- Congresses
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Information retrieval
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Genre/Form |
Electronic books
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proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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Form |
Electronic book
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Author |
Zhang, Qi (Computer scientist), editor.
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Liao, Xiangwen, editor
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Ren, Zhaochun, editor
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ISBN |
9783030316242 |
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3030316246 |
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3030316238 |
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9783030316235 |
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9783030316259 |
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3030316254 |
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