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The European Conference on Information Retrieval Research, now in its 25th “Silver Jubilee” edition, was initiallyestablished bythe Information Retrieval Specialist Group of the British Computer Society(BCS-IRSG) under the name “Annual Colloquium on Information Retrieval Research,” and was always held in the United Kingdom until 1997. Since 1998 the location of the colloquium has alternated between the United Kingdom and the rest of Europe, in order to re?ect the growing European orientation of the event. For the same reason, in 2001 the event was renamed “European Annual Colloquium on Information Retrieval Research.” Since 2002, the proceedings of the Colloquium have been published bySpringer-Verlag in their Lecture Notes in Computer Science series. In 2003 BCS-IRSG decided to rename the event “European Conference on Information Retrieval Research,” in order to re?ect what the event had slowly turned into, i.e., a full-blown conference with a European program committee, strong peer reviewing, and a (mostly) European audience. However, ECIR still retains the strong student focus that has characterized the Colloquia since their inception: student fees are kept particularlylow, a s- dent travel grant program is available in order to encourage students to attend the conference (and encourage student authors to present their papers pers- ally), and a Best Student Paper Award is assigned (conversely, ECIR has no best paper award).

Database management --- Information storage and retrieval systems --- Computer Science --- Engineering & Applied Sciences --- Culture --- Library science. --- Database management. --- Information storage and retrieval. --- Multimedia information systems. --- Artificial intelligence. --- Cultural and Media Studies. --- Library Science. --- Information Storage and Retrieval. --- Database Management. --- Information Systems Applications (incl. Internet). --- Multimedia Information Systems. --- Artificial Intelligence (incl. Robotics). --- Study and teaching. --- Information storage and retrieva. --- Multimedia systems. --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Computer-based multimedia information systems --- Multimedia computing --- Multimedia information systems --- Multimedia knowledge systems --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Librarianship --- Library economy --- Bibliography --- Documentation --- Information science --- Information storage and retrieval systems. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software

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This book constitutes the proceedings of the 18th International Symposium on String Processing and Information Retrieval, SPIRE 2011, held in Pisa, Italy, in October 2011. The 30 long and 10 short papers together with 1 keynote presented were carefully reviewed and selected from 102 submissions. The papers are structured in topical sections on introduction to web retrieval, sequence learning, computational geography, space-efficient data structures, algorithmic analysis of biological data, compression, text and algorithms.

Text processing (Computer science) --- Information storage and retrieval systems --- Engineering & Applied Sciences --- Computer Science --- Computer science. --- Database management. --- Data mining. --- Information storage and retrieval. --- Pattern recognition. --- Bioinformatics. --- Computer Science. --- Information Storage and Retrieval. --- Computational Biology/Bioinformatics. --- Data Mining and Knowledge Discovery. --- Database Management. --- Pattern Recognition. --- Information Systems Applications (incl. Internet). --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Informatics --- Science --- Data processing --- Information storage and retrieva. --- Optical pattern recognition. --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Information storage and retrieval systems. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Pattern recognition systems. --- Computational and Systems Biology. --- Automated Pattern Recognition. --- Computer and Information Systems Applications. --- Pattern classification systems --- Pattern recognition computers --- Computer vision --- Data centers

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This open access book provides an introduction and an overview of learning to quantify (a.k.a. “quantification”), i.e. the task of training estimators of class proportions in unlabeled data by means of supervised learning. In data science, learning to quantify is a task of its own related to classification yet different from it, since estimating class proportions by simply classifying all data and counting the labels assigned by the classifier is known to often return inaccurate (“biased”) class proportion estimates. The book introduces learning to quantify by looking at the supervised learning methods that can be used to perform it, at the evaluation measures and evaluation protocols that should be used for evaluating the quality of the returned predictions, at the numerous fields of human activity in which the use of quantification techniques may provide improved results with respect to the naive use of classification techniques, and at advanced topics in quantification research. The book is suitable to researchers, data scientists, or PhD students, who want to come up to speed with the state of the art in learning to quantify, but also to researchers wishing to apply data science technologies to fields of human activity (e.g., the social sciences, political science, epidemiology, market research) which focus on aggregate (“macro”) data rather than on individual (“micro”) data.

Information storage and retrieval systems. --- Data mining. --- Machine learning. --- Information Storage and Retrieval. --- Data Mining and Knowledge Discovery. --- Machine Learning. --- Learning, Machine --- Artificial intelligence --- Machine theory --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data centers --- Digital libraries --- Information organization --- Information retrieval

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Information retrieval --- Computer assisted instruction --- Programming --- Information systems --- Computer. Automation --- NLP (neurolinguïstisch programmeren) --- informatica --- computerondersteund onderwijs --- programmeren (informatica) --- informatiesystemen --- interfaces

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This two-volume set LNCS 12656 and 12657 constitutes the refereed proceedings of the 43rd European Conference on IR Research, ECIR 2021, held virtually in March/April 2021, due to the COVID-19 pandemic. The 50 full papers presented together with 11 reproducibility papers, 39 short papers, 15 demonstration papers, 12 CLEF lab descriptions papers, 5 doctoral consortium papers, 5 workshop abstracts, and 8 tutorials abstracts were carefully reviewed and selected from 436 submissions. The accepted contributions cover the state of the art in IR: deep learning-based information retrieval techniques, use of entities and knowledge graphs, recommender systems, retrieval methods, information extraction, question answering, topic and prediction models, multimedia retrieval, and much more.

Information retrieval --- Computer assisted instruction --- Programming --- Information systems --- Computer. Automation --- NLP (neurolinguïstisch programmeren) --- informatica --- computerondersteund onderwijs --- programmeren (informatica) --- informatiesystemen --- interfaces