Information Retrieval Technology - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783642171864, 9783642171871

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Analysis and Algorithms for Stemming Inversion

Information Retrieval Technology - Lecture Notes in Computer Science ◽

10.1007/978-3-642-17187-1_28 ◽

2010 ◽

pp. 290-299 ◽

Cited By ~ 1

Author(s):

Ingo Feinerer

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A Local Generative Model for Chinese Word Segmentation

Information Retrieval Technology - Lecture Notes in Computer Science ◽

10.1007/978-3-642-17187-1_41 ◽

2010 ◽

pp. 420-431

Author(s):

Kaixu Zhang ◽

Maosong Sun ◽

Ping Xue

Keyword(s):

Word Segmentation ◽

Generative Model ◽

Chinese Word ◽

Chinese Word Segmentation

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Exploring the Visual Annotatability of Query Concepts for Interactive Cross-Language Information Retrieval

Information Retrieval Technology - Lecture Notes in Computer Science ◽

10.1007/978-3-642-17187-1_37 ◽

2010 ◽

pp. 379-388

Author(s):

Yoshihiko Hayashi ◽

Masaaki Nagata ◽

Bora Savas

Keyword(s):

Information Retrieval ◽

Cross Language Information Retrieval ◽

Query Concepts ◽

Cross Language

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A Sparse L 2-Regularized Support Vector Machines for Large-Scale Natural Language Learning

Information Retrieval Technology - Lecture Notes in Computer Science ◽

10.1007/978-3-642-17187-1_33 ◽

2010 ◽

pp. 340-349

Author(s):

Yu-Chieh Wu ◽

Yue-Shi Lee ◽

Jie-Chi Yang ◽

Show-Jane Yen

Keyword(s):

Support Vector Machines ◽

Natural Language ◽

Language Learning ◽

Large Scale ◽

Support Vector ◽

Vector Machines ◽

Natural Language Learning

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Title-Based Product Search – Exemplified in a Chinese E-commerce Portal

Information Retrieval Technology - Lecture Notes in Computer Science ◽

10.1007/978-3-642-17187-1_3 ◽

2010 ◽

pp. 25-36

Author(s):

Chien-Wen Chen ◽

Pu-Jen Cheng

Keyword(s):

Product Search

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Order Preserved Cost-Sensitive Listwise Approach in Learning to Rank

Information Retrieval Technology - Lecture Notes in Computer Science ◽

10.1007/978-3-642-17187-1_19 ◽

2010 ◽

pp. 203-210

Author(s):

Min Lu ◽

MaoQiang Xie ◽

Yang Wang ◽

Jie Liu ◽

YaLou Huang

Keyword(s):

Learning To Rank

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Domain-Specific Term Rankings Using Topic Models

Information Retrieval Technology - Lecture Notes in Computer Science ◽

10.1007/978-3-642-17187-1_44 ◽

2010 ◽

pp. 454-465 ◽

Cited By ~ 1

Author(s):

Zhiyuan Liu ◽

Maosong Sun

Keyword(s):

Topic Models ◽

Domain Specific ◽

Specific Term

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When Two Is Better Than One: A Study of Ranking Paradigms and Their Integrations for Subtopic Retrieval

Information Retrieval Technology - Lecture Notes in Computer Science ◽

10.1007/978-3-642-17187-1_15 ◽

2010 ◽

pp. 162-172 ◽

Cited By ~ 3

Author(s):

Teerapong Leelanupab ◽

Guido Zuccon ◽

Joemon M. Jose

Keyword(s):

Better Than

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Machine Learning Approaches for Modeling Spammer Behavior

Information Retrieval Technology - Lecture Notes in Computer Science ◽

10.1007/978-3-642-17187-1_24 ◽

2010 ◽

pp. 251-260 ◽

Cited By ~ 7

Author(s):

Md. Saiful Islam ◽

Abdullah Al Mahmud ◽

Md. Rafiqul Islam

Keyword(s):

Machine Learning ◽

Learning Approaches

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Research of Sentiment Block Identification for Customer Reviews Based on Conditional Random Fields

Information Retrieval Technology - Lecture Notes in Computer Science ◽

10.1007/978-3-642-17187-1_25 ◽

2010 ◽

pp. 261-269 ◽

Cited By ~ 1

Author(s):

Lei Jiang ◽

Yuanchao Liu ◽

Bingquan Liu ◽

Chengjie Sun ◽

Xiaolong Wang

Keyword(s):

Random Fields ◽

Conditional Random Fields ◽

Customer Reviews

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Information Retrieval Technology - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Analysis and Algorithms for Stemming Inversion

A Local Generative Model for Chinese Word Segmentation

Exploring the Visual Annotatability of Query Concepts for Interactive Cross-Language Information Retrieval

A Sparse L 2-Regularized Support Vector Machines for Large-Scale Natural Language Learning

Title-Based Product Search – Exemplified in a Chinese E-commerce Portal

Order Preserved Cost-Sensitive Listwise Approach in Learning to Rank

Domain-Specific Term Rankings Using Topic Models

When Two Is Better Than One: A Study of Ranking Paradigms and Their Integrations for Subtopic Retrieval

Machine Learning Approaches for Modeling Spammer Behavior

Research of Sentiment Block Identification for Customer Reviews Based on Conditional Random Fields

Information Retrieval Technology - Lecture Notes in Computer Science
Latest Publications