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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
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
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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
工程技术2区 COMPUTER SCIENCE, INFORMATION SYSTEMS 计算机:信息系统2区
CiteScore
CiteScore排名 CiteScore SJR SNIP
学科 排名 百分位 39.1 4.496 11.979
Computer Science
Computer Science (miscellaneous)
1/133 99%
Computer Science
Information Systems
3/394 99%
补充信息
自引率 3.6%
H-index 25
SCI收录状况 Science Citation Index Expanded
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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
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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