Foundations and Trends in Information Retrieval

在过去十年中，研究的各个方面的增长导致了大量的新出版物和已发表研究的指数增长。寻找一种途径，通过现有的优秀文献和保持最新的已成为一个主要的耗时问题。电子出版使研究人员比以往任何时候都能即时获得更多的文章。但哪些文章是必须阅读的，以理解和跟上任何主题的发展？为了解决这一问题，信息检索的基础和趋势-fntir-出版了该领域的高质量调查和教程专著。每一期《信息检索的基础和趋势》（FNT IR）由该领域的研究领导者撰写的50-100页的专著组成。专著提供了主题的指导性报道，研究回顾，以及提供最新评论的调查论文都属于杂志的范围。编辑范围信息检索的基础和趋势发布了关于以下主题的调查和教程文章：红外的应用红外体系结构协同过滤和推荐系统跨语言和多语言红外线分布式红外和联合搜索IR的评估问题和测试集合红外的形式模型和语言模型移动平台上的红外结构化文档的索引和检索信息分类与聚类信息提取信息过滤和路由元搜索、等级聚合和数据融合红外自然语言处理红外系统的性能问题，包括算法、数据结构、优化技术和可扩展性问答单个文档、多个文档和语料库的摘要文本挖掘主题检测与跟踪红外中的可用性、交互性和可视化问题用户建模和用户研究网络搜索

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.Each issue of Foundations and Trends in Information Retrieval - FnT IR comprises a 50-100 page monograph written by research leaders in the field. Monographs that give tutorial coverage of subjects, research retrospectives as well as survey papers that offer state-of-the-art reviews fall within the scope of the journal.Editorial ScopeFoundations and Trends in Information Retrieval publishes survey and tutorial articles on the following topics:Applications of IRArchitectures for IRCollaborative filtering and recommender systemsCross-lingual and multilingual IRDistributed IR and federated searchEvaluation issues and test collections for IRFormal models and language models for IRIR on mobile platformsIndexing and retrieval of structured documentsInformation categorization and clusteringInformation extractionInformation filtering and routingMetasearch, rank aggregation and data fusionNatural language processing for IRPerformance issues for IR systems, including algorithms, data structures, optimization techniques, and scalabilityQuestion answeringSummarization of single documents, multiple documents, and corporaText miningTopic detection and trackingUsability, interactivity, and visualization issues in IRUser modelling and user studies for IRWeb search