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Information Retrieval Technology: 6th Asia Information Retrieval Societies Conference, AIRS 2010, Taipei, Taiwan, December 1-3, 2010, Proceedings de Pu-Jen Cheng

Information Retrieval Technology: 6th Asia Information Retrieval Societies Conference, AIRS 2010, Taipei, Taiwan, December 1-3, 2010, Proceedings: Lecture Notes in Computer Science, cartea 6458

Editat de Pu-Jen Cheng, Min-Yen Kan, Wai Lam, Preslav Nakov
en Limba Engleză Paperback – 16 noi 2010

Descoperim aici o resursă tehnică ce depășește cadrul teoretic al documentației standard, oferind o perspectivă aplicată asupra provocărilor actuale din domeniul regăsirii informațiilor (IR). Volumul Information Retrieval Technology compilează lucrările prezentate la a șasea conferință AIRS, evidențiind o tranziție clară către analiza datelor non-textuale și a comportamentului utilizatorilor în medii digitale complexe. Notăm cu interes rigoarea selecției: doar 21% dintre lucrările trimise au fost acceptate ca articole complete, ceea ce garantează o densitate informațională ridicată și o validitate metodologică strictă.

Remarcăm organizarea logică a volumului, care ghidează cititorul de la modelele fundamentale de clasificare și ranking către aplicații de ultimă oră în Machine Learning și sisteme de tip meta-search. Pe linia practică a volumului Advances in Information Retrieval, dar cu un focus specific pe ecosistemul digital asiatic și pe procesarea limbajului natural în contexte multilingve, această lucrare analizează soluții concrete pentru optimizarea motoarelor de căutare și a sistemelor de recomandare. Structura progresivă, de la sesiuni despre modele IR la studii de evaluare a satisfacției utilizatorului prin analiza log-urilor de căutare, permite o înțelegere profundă a întregului flux de lucru în dezvoltarea tehnologiilor de acces la date.

Spre deosebire de Multidisciplinary Information Retrieval, care explorează intersecția cu traducerile automate, volumul editat de Pu-Jen Cheng și echipa sa pune accent pe eficiența algoritmilor de kernel și pe adaptarea domeniilor în clasificarea sentimentelor. Este un instrument esențial pentru cercetătorii care urmăresc implementarea unor sisteme de căutare robuste în baze de date eterogene, oferind exemple de bune practici în evaluarea semnificației statistice a rezultatelor.

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Specificații

ISBN-13: 9783642171864
ISBN-10: 3642171869
Pagini: 640
Ilustrații: XIII, 627 p. 152 illus.
Greutate: 0.57 kg
Ediția:2010
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Information Systems and Applications, incl. Internet/Web, and HCI

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

De ce să citești această carte

Recomandăm acest volum cercetătorilor și dezvoltatorilor care doresc să exploreze tehnici avansate de indexare și căutare dincolo de textul simplu. Cititorul câștigă acces la metodologii testate de Machine Learning aplicate în e-commerce și rețele sociale, oferind soluții pentru probleme de scalabilitate și relevanță în sisteme de date masive. Este o resursă valoroasă pentru cei care proiectează arhitecturi complexe de baze de date și motoare de căutare.

Descriere scurtă

The Asia Information Retrieval Societies Conference (AIRS) 2010 was the sixth conference in the AIRS series,aiming to bring together international researchers and developers to exchange new ideas and the latest results in information - trieval. The scope of the conference encompassed the theory and practice of all aspects of information retrieval in text, audio, image, video, and multimedia data. AIRS 2010 continued the conference series that grew from the Information Retrieval with Asian Languages (IRAL) workshop series, started in 1996. It has become a mature venue for information retrieval work, ?nding support from the ACM Special Interest Group on Information Retrieval (SIGIR); the Association for Computational Linguistics and Chinese Language Processing (ACLCLP); ROCLING; and the Information Processing Society of Japan, Special Interest GrouponInformationFundamentals andAccess Technologies(IPSJSIG-IFAT). This year saw a sharp rise in the number of submissions over the previous year. A total of 120 papers were submitted, representing work by academics and practitioners not only from Asia, but also from Australia, Europe, North America, etc. The high quality of the work made it di?cult for the dedicated programcommitteetodecidewhichpaperstofeatureattheconference.Through adouble-blindreviewingprocess,26submissions(21%)wereacceptedasfulloral papers and 31 (25%) were accepted as short posters. The success of this conferencewas only possible with the support of allof the authorswho submitted papers for review, the programcommittee members who constructively assessedthe submissions, and the registered conference delegates. We thank them for their support of this conference, and for their long-term support of this Asian-centric venue for IR research and development.

Cuprins

Session 1: IR Models – I.- Relevance Ranking Using Kernels.- Mining YouTube to Discover Extremist Videos, Users and Hidden Communities.- Title-Based Product Search – Exemplified in a Chinese E-commerce Portal.- Relevance Model Revisited: With Multiple Document Representations.- Session 2: Machine Learning for IR – I.- Multi-viewpoint Based Similarity Measure and Optimality Criteria for Document Clustering.- A Text Classifier with Domain Adaptation for Sentiment Classification.- Session 3: User Studies and Evaluation.- Effective Time Ratio: A Measure for Web Search Engines with Document Snippets.- Investigating Characteristics of Non-click Behavior Using Query Logs.- Score Estimation, Incomplete Judgments, and Significance Testing in IR Evaluation.- Poster Session.- Multi-Search: A Meta-search Engine Based on Multiple Ontologies.- Co-HITS-Ranking Based Query-Focused Multi-document Summarization.- Advanced Training Set Construction for Retrieval in Historic Documents.- Ontology-Driven Semantic Digital Library.- Revisiting Rocchio’s Relevance Feedback Algorithm for Probabilistic Models.- When Two Is Better Than One: A Study of Ranking Paradigms and Their Integrations for Subtopic Retrieval.- Connecting Qualitative and Quantitative Analysis of Web Search Process: Analysis Using Search Units.- Transliteration Retrieval Model for Cross Lingual Information Retrieval.- The Role of Lexical Ontology in Expanding the Semantic Textual Content of On-Line News Images.- Order Preserved Cost-Sensitive Listwise Approach in Learning to Rank.- Pseudo-Relevance Feedback Based on mRMR Criteria.- An Integrated Deterministic and Nondeterministic Inference Algorithm for Sequential Labeling.- FolkDiffusion: A Graph-Based Tag Suggestion Method for Folksonomies.- Effectively LeveragingEntropy and Relevance for Summarization.- Machine Learning Approaches for Modeling Spammer Behavior.- Research of Sentiment Block Identification for Customer Reviews Based on Conditional Random Fields.- Semantic Relation Extraction Based on Semi-supervised Learning.- Corpus-Based Arabic Stemming Using N-Grams.- Analysis and Algorithms for Stemming Inversion.- Top-Down and Bottom-Up: A Combined Approach to Slot Filling.- Relation Extraction between Related Concepts by Combining Wikipedia and Web Information for Japanese Language.- A Chinese Sentence Compression Method for Opinion Mining.- Relation Extraction in Vietnamese Text Using Conditional Random Fields.- A Sparse L 2-Regularized Support Vector Machines for Large-Scale Natural Language Learning.- An Empirical Comparative Study of Manual Rule-Based and Statistical Question Classifiers on Heterogeneous Unseen Data.- Constructing Blog Entry Classifiers Using Blog-Level Topic Labels.- Finding Hard Questions by Knowledge Gap Analysis in Question Answer Communities.- Exploring the Visual Annotatability of Query Concepts for Interactive Cross-Language Information Retrieval.- A Diary Study-Based Evaluation Framework for Mobile Information Retrieval.- Dynamics of Genre and Domain Intents.- Query Recommendation Considering Search Performance of Related Queries.- Session 4: NLP for IR – I.- A Local Generative Model for Chinese Word Segmentation.- Re-ranking Summaries Based on Cross-Document Information Extraction.- A Two-Stage Algorithm for Domain Adaptation with Application to Sentiment Transfer Problems.- Domain-Specific Term Rankings Using Topic Models.- Learning Chinese Polarity Lexicons by Integration of Graph Models and Morphological Features.- Session 5: Machine Learning for IR – II.- Learning to Rank withSupplementary Data.- Event Recognition from News Webpages through Latent Ingredients Extraction.- Tuning Machine-Learning Algorithms for Battery-Operated Portable Devices.- Session 6: IR Models – II.- A Unified Iterative Optimization Algorithm for Query Model and Ranking Refinement.- A Study of Document Weight Smoothness in Pseudo Relevance Feedback.- Modeling Variable Dependencies between Characters in Chinese Information Retrieval.- Session 7: Web and QA.- Mining Parallel Documents across Web Sites.- A Revised SimRank Approach for Query Expansion.- Improving Web-Based OOV Translation Mining for Query Translation.- On a Combination of Probabilistic and Boolean IR Models for Question Answering.- Session 8: Multimedia.- Emotion Tag Based Music Retrieval Algorithm.- An Aesthetic-Based Approach to Re-ranking Web Images.

Recenzii

From the reviews:
“The papers presented in these proceedings of the sixth Asia Information Retrieval Conference (AIRS) represent the work by academics and practitioners from across the world. Twenty-six quality papers on a diverse range of topics related to information retrieval technology are divided into eight sections. … This volume is packed with high quality papers and will be most useful for computer and information technology specialists interested in various aspects of information retrieval.” (Madely du Preez, Online Information Review, Vol. 35 (6), 2011)