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Foundations and Trends in Information Retrieval
基本信息
期刊名称 | Foundations and Trends in Information Retrieval FOUND TRENDS INF RET |
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期刊ISSN | 1554-0669 |
期刊官方网站 | http://www.nowpublishers.com/INR/ |
是否OA | No |
出版商 | Now Publishers Inc |
出版周期 | |
文章处理费 | 登录后查看 |
始发年份 | |
年文章数 | 4 |
影响因子 | 8.3(2023) scijournal影响因子 greensci影响因子 |
中科院SCI期刊分区
大类学科 | 小类学科 | Top | 综述 |
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工程技术2区 | COMPUTER SCIENCE, INFORMATION SYSTEMS 计算机:信息系统2区 | 否 | 是 |
CiteScore
CiteScore排名 | CiteScore | SJR | SNIP | ||
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学科 | 排名 | 百分位 | 39.1 | 4.496 | 11.979 |
Computer Science Computer Science (miscellaneous) |
1/133 | 99% |
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Computer Science Information Systems |
3/394 | 99% |
补充信息
自引率 | 3.6% |
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H-index | 25 |
SCI收录状况 |
Science Citation Index Expanded |
官方审稿时间 | 登录后查看 |
网友分享审稿时间 | 数据统计中,敬请期待。 |
接受率 | 登录后查看 |
PubMed Central (PMC) | http://www.ncbi.nlm.nih.gov/nlmcatalog?term=1554-0669%5BISSN%5D |
投稿指南
期刊投稿网址 | http://www.nowpublishers.com/Journal/AuthorInstructions/INR |
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收稿范围 | The growth in all aspects of research in the last decade has led to a multitude of new publications and an exponential increase in published research. Finding a way through the excellent existing literature and keeping up to date has become a major time-consuming problem. Electronic publishing has given researchers instant access to more articles than ever before. But which articles are the essential ones that should be read to understand and keep abreast with developments of any topic? To address this problem Foundations and Trends in Information Retrieval - FnTIR - publishes high-quality survey and tutorial monographs of the field. Foundations and Trends in Information Retrieval publishes survey and tutorial articles on the following topics:® Applications of IR Architectures for IR Collaborative filtering and recommender systems Cross-lingual and multilingual IR Distributed IR and federated search Evaluation issues and test collections for IR Formal models and language models for IR IR on mobile platforms Indexing and retrieval of structured documents Information categorization and clustering Information extraction Information filtering and routing Metasearch, rank aggregation and data fusion Natural language processing for IR Performance issues for IR systems, including algorithms, data structures, optimization techniques, and scalability Question answering Summarization of single documents, multiple documents, and corpora Text mining Topic detection and tracking Usability, interactivity, and visualization issues in IR User modelling and user studies for IR Web search |
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