AIRS 2016 - Twelfth Asia Information Retrieval Societies Conference
Date2016-11-30 - 2016-12-02
Deadline2016-06-24
VenueBeijing, China
Keywords
Websitehttps://airs2016.ruc.edu.cn
Topics/Call fo Papers
The Asia Information Retrieval Societies Conference (AIRS) aims to bring together researchers and developers to exchange new ideas and latest achievements in the field of information retrieval (IR). The scope of the conference covers applications, systems, technologies and theory aspects of information retrieval in text, audio, image, video and multimedia data. The Twelfth AIRS (AIRS 2016) welcomes submissions of original papers in the broad field of information retrieval.
Submissions can either be:
Full research paper ? 12 pages
Short research paper ? 6 pages, with a poster presentation and/or live/demo presentation (if accepted)
Technical issues covered include, but are not limited to:
IR Theory and Formal Models;
IR Evaluation, Test collections, Evaluation methods and metrics,
Experimental design, Data collection and analysis;
Interactive IR, User interfaces and visualization, User studies;
User models, Task-based IR, User/Task-based IR theory;
Query intent, Personalized web search, Search result diversification;
Web IR, Intranet/enterprise search, Citation and link analysis,
Adversarial IR;
Distributed IR, Fusion/Combination, Digital libraries;
Cross-language retrieval, Multilingual retrieval, Machine translation for IR;
Video and image retrieval, Audio and speech retrieval, Music retrieval;
Topic detection and tracking, Routing, Content-based filtering;
Filtering and Recommendation;
Natural Language Processing for IR;
Text Data Mining and Machine Learning for IR;
IR Applications (e.g. Legal IR, Medical/Biomedical IR)
Accepted papers will be published as part of the Lecture Notes in Computer Science (LNCS) series from Springer, and will be EI-indexed.
Submissions can either be:
Full research paper ? 12 pages
Short research paper ? 6 pages, with a poster presentation and/or live/demo presentation (if accepted)
Technical issues covered include, but are not limited to:
IR Theory and Formal Models;
IR Evaluation, Test collections, Evaluation methods and metrics,
Experimental design, Data collection and analysis;
Interactive IR, User interfaces and visualization, User studies;
User models, Task-based IR, User/Task-based IR theory;
Query intent, Personalized web search, Search result diversification;
Web IR, Intranet/enterprise search, Citation and link analysis,
Adversarial IR;
Distributed IR, Fusion/Combination, Digital libraries;
Cross-language retrieval, Multilingual retrieval, Machine translation for IR;
Video and image retrieval, Audio and speech retrieval, Music retrieval;
Topic detection and tracking, Routing, Content-based filtering;
Filtering and Recommendation;
Natural Language Processing for IR;
Text Data Mining and Machine Learning for IR;
IR Applications (e.g. Legal IR, Medical/Biomedical IR)
Accepted papers will be published as part of the Lecture Notes in Computer Science (LNCS) series from Springer, and will be EI-indexed.
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Last modified: 2016-04-19 23:14:00