在過去十年中，研究的各個方面的增長導致了大量的新出版物和已發表研究的指數增長。尋找一種途徑，通過現有的優秀文獻和保持最新的已成為一個主要的耗時問題。電子出版使研究人員比以往任何時候都能即時獲得更多的文章。但哪些文章是必須閱讀的，以理解和跟上任何主題的發展？為了解決這一問題，信息檢索的基礎和趨勢-fntir-出版了該領域的高質量調查和教程專著。每一期《信息檢索的基礎和趨勢》（FNT IR）由該領域的研究領導者撰寫的50-100頁的專著組成。專著提供了主題的指導性報道，研究回顧，以及提供最新評論的調查論文都屬于雜志的范圍。編輯范圍信息檢索的基礎和趨勢發布了關于以下主題的調查和教程文章：紅外的應用紅外體系結構協同過濾和推薦系統跨語言和多語言紅外線分布式紅外和聯合搜索IR的評估問題和測試集合紅外的形式模型和語言模型移動平臺上的紅外結構化文檔的索引和檢索信息分類與聚類信息提取信息過濾和路由元搜索、等級聚合和數據融合紅外自然語言處理紅外系統的性能問題，包括算法、數據結構、優化技術和可擴展性問答單個文檔、多個文檔和語料庫的摘要文本挖掘主題檢測與跟蹤紅外中的可用性、交互性和可視化問題用戶建模和用戶研究網絡搜索

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